authors: “Sameer Nair-Desai, Rashad Ahmed, Weining Xin” date: “6/15/2020” output: html_document: default pdf_document: default word_document: default —
If you do not wish to run the code, please see the final output (graphs and datasets) provided in the Github repository. Make sure to check the relevant README files for the contents of the folder.
Installing the relevant packages. install.packages(“sf”) install.packages(“readr”) install.packages(“tmap”) install.packages(“leaflet”) install.packages(“mapview”) install.packages(“ggplot2”) install.packages(“tidyverse”) install.packages(“rlang”) install.packages(“reshape”) install.packages(“rgdal”) install.packages(“lubridate”) install.packages(“plotly”) install.packages(“patchwork”) install.packages(“ggforce”) install.packages(“gridExtra”) install.packages(“htmltools”) install.packages(“data.table”) install.packages(“webshot”) webshot::install_phantomjs() install.packages(“runner”) install.packages(“zoo”) install.packages(“devtools”) devtools::install_version(“latticeExtra”, version=“0.6-28”) install.packages(“Hmisc”) install.packages(“DataCombine”) install.packages(“fastDummies”) install.packages(“heatmaply”) install.packages(“glmnet”) install.packages(“caret”) install.packages(“summarytools”) install.packages(“remote”) remotes::install_github(‘rapporter/pander’) install.packages(“mlbench”) install.packages(“psych”) install.packages(“lmtest”) install.packages(“quantmod”) install.packages(“corrplot”) install.packages(“fBasics”) install.packages(“stargazer”) install.packages(“tseries”) install.packages(“vars”) install.packages(“gghighlight”)
# Setting our initial libraries. In subsequent rounds of analysis, we will be integrating new libraries (we do not do so here to avoid conflicts between packages).
library(sf)
## Linking to GEOS 3.7.2, GDAL 2.4.2, PROJ 5.2.0
library(readr)
library(mapview)
library(ggplot2)
library(tidyverse)
## ── Attaching packages ──────────────────────────────────────────────────────────── tidyverse 1.3.0 ──
## ✓ tibble 3.0.1 ✓ dplyr 0.8.5
## ✓ tidyr 1.0.2 ✓ stringr 1.4.0
## ✓ purrr 0.3.4 ✓ forcats 0.5.0
## ── Conflicts ─────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
library(rlang)
##
## Attaching package: 'rlang'
## The following objects are masked from 'package:purrr':
##
## %@%, as_function, flatten, flatten_chr, flatten_dbl, flatten_int,
## flatten_lgl, flatten_raw, invoke, list_along, modify, prepend,
## splice
library(reshape)
##
## Attaching package: 'reshape'
## The following object is masked from 'package:dplyr':
##
## rename
## The following objects are masked from 'package:tidyr':
##
## expand, smiths
library(rgdal)
## Loading required package: sp
## rgdal: version: 1.4-8, (SVN revision 845)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 2.4.2, released 2019/06/28
## Path to GDAL shared files: /Library/Frameworks/R.framework/Versions/3.6/Resources/library/rgdal/gdal
## GDAL binary built with GEOS: FALSE
## Loaded PROJ.4 runtime: Rel. 5.2.0, September 15th, 2018, [PJ_VERSION: 520]
## Path to PROJ.4 shared files: /Library/Frameworks/R.framework/Versions/3.6/Resources/library/rgdal/proj
## Linking to sp version: 1.3-2
library(lubridate)
##
## Attaching package: 'lubridate'
## The following object is masked from 'package:reshape':
##
## stamp
## The following objects are masked from 'package:dplyr':
##
## intersect, setdiff, union
## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union
library(plotly)
##
## Attaching package: 'plotly'
## The following object is masked from 'package:reshape':
##
## rename
## The following object is masked from 'package:ggplot2':
##
## last_plot
## The following object is masked from 'package:stats':
##
## filter
## The following object is masked from 'package:graphics':
##
## layout
library(patchwork)
library(ggforce)
library(gridExtra)
##
## Attaching package: 'gridExtra'
## The following object is masked from 'package:dplyr':
##
## combine
library(htmltools)
library(data.table)
##
## Attaching package: 'data.table'
## The following objects are masked from 'package:lubridate':
##
## hour, isoweek, mday, minute, month, quarter, second, wday, week,
## yday, year
## The following object is masked from 'package:reshape':
##
## melt
## The following object is masked from 'package:rlang':
##
## :=
## The following objects are masked from 'package:dplyr':
##
## between, first, last
## The following object is masked from 'package:purrr':
##
## transpose
library(webshot)
library(coronavirus)
library(runner)
library(zoo)
##
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
##
## as.Date, as.Date.numeric
library(DataCombine)
##
## Attaching package: 'DataCombine'
## The following object is masked from 'package:data.table':
##
## shift
library(fastDummies)
library(car)
## Loading required package: carData
##
## Attaching package: 'car'
## The following object is masked from 'package:dplyr':
##
## recode
## The following object is masked from 'package:purrr':
##
## some
library(heatmaply)
## Loading required package: viridis
## Loading required package: viridisLite
## Registered S3 method overwritten by 'seriation':
## method from
## reorder.hclust gclus
##
## ======================
## Welcome to heatmaply version 1.1.0
##
## Type citation('heatmaply') for how to cite the package.
## Type ?heatmaply for the main documentation.
##
## The github page is: https://github.com/talgalili/heatmaply/
## Please submit your suggestions and bug-reports at: https://github.com/talgalili/heatmaply/issues
## Or contact: <tal.galili@gmail.com>
## ======================
library(htmlwidgets)
library(summarytools)
## Registered S3 method overwritten by 'pryr':
## method from
## print.bytes Rcpp
##
## Attaching package: 'summarytools'
## The following object is masked from 'package:tibble':
##
## view
library(glmnet)
## Loading required package: Matrix
##
## Attaching package: 'Matrix'
## The following object is masked from 'package:reshape':
##
## expand
## The following objects are masked from 'package:tidyr':
##
## expand, pack, unpack
## Loaded glmnet 3.0-2
library(caret)
## Loading required package: lattice
##
## Attaching package: 'caret'
## The following object is masked from 'package:purrr':
##
## lift
library(mlbench)
library(psych)
##
## Attaching package: 'psych'
## The following object is masked from 'package:car':
##
## logit
## The following objects are masked from 'package:ggplot2':
##
## %+%, alpha
library(plm)
##
## Attaching package: 'plm'
## The following object is masked from 'package:data.table':
##
## between
## The following objects are masked from 'package:dplyr':
##
## between, lag, lead
library(lmtest)
library(quantmod)
## Loading required package: xts
##
## Attaching package: 'xts'
## The following objects are masked from 'package:data.table':
##
## first, last
## The following objects are masked from 'package:dplyr':
##
## first, last
## Loading required package: TTR
## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo
## Version 0.4-0 included new data defaults. See ?getSymbols.
library(leaflet)
##
## Attaching package: 'leaflet'
## The following object is masked from 'package:xts':
##
## addLegend
library(corrplot)
## corrplot 0.84 loaded
library(fBasics)
## Loading required package: timeDate
## Loading required package: timeSeries
##
## Attaching package: 'timeSeries'
## The following object is masked from 'package:psych':
##
## outlier
## The following object is masked from 'package:zoo':
##
## time<-
##
## Attaching package: 'fBasics'
## The following object is masked from 'package:TTR':
##
## volatility
## The following object is masked from 'package:psych':
##
## tr
## The following object is masked from 'package:car':
##
## densityPlot
## The following object is masked from 'package:rgdal':
##
## getDescription
library(stargazer)
##
## Please cite as:
## Hlavac, Marek (2018). stargazer: Well-Formatted Regression and Summary Statistics Tables.
## R package version 5.2.2. https://CRAN.R-project.org/package=stargazer
library(tseries)
library(vars)
## Loading required package: MASS
##
## Attaching package: 'MASS'
## The following object is masked from 'package:patchwork':
##
## area
## The following object is masked from 'package:plotly':
##
## select
## The following object is masked from 'package:dplyr':
##
## select
## Loading required package: strucchange
## Loading required package: sandwich
##
## Attaching package: 'strucchange'
## The following object is masked from 'package:stringr':
##
## boundary
## Loading required package: urca
library(dplyr)
library(gghighlight)
# I don't want scientific notation for my values, so I specify this below.
options(scipen = 999)
# Import and quickly cleaning our data. We will call the import our initial confirmed data (Wide).
Initial_Confirmed_Wide <- read_csv("data/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv")
## Parsed with column specification:
## cols(
## .default = col_double(),
## `Province/State` = col_character(),
## `Country/Region` = col_character()
## )
## See spec(...) for full column specifications.
# Our data is in wide format. Here, I translate it to long format.
Confirmed_Long <- pivot_longer(Initial_Confirmed_Wide, cols = c(5:149), names_to = "Dates", values_to = "Confirmed_Cases")
# Now, I rename my column for country in the long dataset.
Confirmed_Long$COUNTRY <- Confirmed_Long$`Country/Region`
# I can also convert the dates into a more usable string format with lubridate.
Confirmed_Long$Date <- mdy(Confirmed_Long$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
truncated = 0)
order(Confirmed_Long$Date)
## [1] 1 146 291 436 581 726 871 1016 1161 1306 1451 1596
## [13] 1741 1886 2031 2176 2321 2466 2611 2756 2901 3046 3191 3336
## [25] 3481 3626 3771 3916 4061 4206 4351 4496 4641 4786 4931 5076
## [37] 5221 5366 5511 5656 5801 5946 6091 6236 6381 6526 6671 6816
## [49] 6961 7106 7251 7396 7541 7686 7831 7976 8121 8266 8411 8556
## [61] 8701 8846 8991 9136 9281 9426 9571 9716 9861 10006 10151 10296
## [73] 10441 10586 10731 10876 11021 11166 11311 11456 11601 11746 11891 12036
## [85] 12181 12326 12471 12616 12761 12906 13051 13196 13341 13486 13631 13776
## [97] 13921 14066 14211 14356 14501 14646 14791 14936 15081 15226 15371 15516
## [109] 15661 15806 15951 16096 16241 16386 16531 16676 16821 16966 17111 17256
## [121] 17401 17546 17691 17836 17981 18126 18271 18416 18561 18706 18851 18996
## [133] 19141 19286 19431 19576 19721 19866 20011 20156 20301 20446 20591 20736
## [145] 20881 21026 21171 21316 21461 21606 21751 21896 22041 22186 22331 22476
## [157] 22621 22766 22911 23056 23201 23346 23491 23636 23781 23926 24071 24216
## [169] 24361 24506 24651 24796 24941 25086 25231 25376 25521 25666 25811 25956
## [181] 26101 26246 26391 26536 26681 26826 26971 27116 27261 27406 27551 27696
## [193] 27841 27986 28131 28276 28421 28566 28711 28856 29001 29146 29291 29436
## [205] 29581 29726 29871 30016 30161 30306 30451 30596 30741 30886 31031 31176
## [217] 31321 31466 31611 31756 31901 32046 32191 32336 32481 32626 32771 32916
## [229] 33061 33206 33351 33496 33641 33786 33931 34076 34221 34366 34511 34656
## [241] 34801 34946 35091 35236 35381 35526 35671 35816 35961 36106 36251 36396
## [253] 36541 36686 36831 36976 37121 37266 37411 37556 37701 37846 37991 38136
## [265] 38281 38426 2 147 292 437 582 727 872 1017 1162 1307
## [277] 1452 1597 1742 1887 2032 2177 2322 2467 2612 2757 2902 3047
## [289] 3192 3337 3482 3627 3772 3917 4062 4207 4352 4497 4642 4787
## [301] 4932 5077 5222 5367 5512 5657 5802 5947 6092 6237 6382 6527
## [313] 6672 6817 6962 7107 7252 7397 7542 7687 7832 7977 8122 8267
## [325] 8412 8557 8702 8847 8992 9137 9282 9427 9572 9717 9862 10007
## [337] 10152 10297 10442 10587 10732 10877 11022 11167 11312 11457 11602 11747
## [349] 11892 12037 12182 12327 12472 12617 12762 12907 13052 13197 13342 13487
## [361] 13632 13777 13922 14067 14212 14357 14502 14647 14792 14937 15082 15227
## [373] 15372 15517 15662 15807 15952 16097 16242 16387 16532 16677 16822 16967
## [385] 17112 17257 17402 17547 17692 17837 17982 18127 18272 18417 18562 18707
## [397] 18852 18997 19142 19287 19432 19577 19722 19867 20012 20157 20302 20447
## [409] 20592 20737 20882 21027 21172 21317 21462 21607 21752 21897 22042 22187
## [421] 22332 22477 22622 22767 22912 23057 23202 23347 23492 23637 23782 23927
## [433] 24072 24217 24362 24507 24652 24797 24942 25087 25232 25377 25522 25667
## [445] 25812 25957 26102 26247 26392 26537 26682 26827 26972 27117 27262 27407
## [457] 27552 27697 27842 27987 28132 28277 28422 28567 28712 28857 29002 29147
## [469] 29292 29437 29582 29727 29872 30017 30162 30307 30452 30597 30742 30887
## [481] 31032 31177 31322 31467 31612 31757 31902 32047 32192 32337 32482 32627
## [493] 32772 32917 33062 33207 33352 33497 33642 33787 33932 34077 34222 34367
## [505] 34512 34657 34802 34947 35092 35237 35382 35527 35672 35817 35962 36107
## [517] 36252 36397 36542 36687 36832 36977 37122 37267 37412 37557 37702 37847
## [529] 37992 38137 38282 38427 3 148 293 438 583 728 873 1018
## [541] 1163 1308 1453 1598 1743 1888 2033 2178 2323 2468 2613 2758
## [553] 2903 3048 3193 3338 3483 3628 3773 3918 4063 4208 4353 4498
## [565] 4643 4788 4933 5078 5223 5368 5513 5658 5803 5948 6093 6238
## [577] 6383 6528 6673 6818 6963 7108 7253 7398 7543 7688 7833 7978
## [589] 8123 8268 8413 8558 8703 8848 8993 9138 9283 9428 9573 9718
## [601] 9863 10008 10153 10298 10443 10588 10733 10878 11023 11168 11313 11458
## [613] 11603 11748 11893 12038 12183 12328 12473 12618 12763 12908 13053 13198
## [625] 13343 13488 13633 13778 13923 14068 14213 14358 14503 14648 14793 14938
## [637] 15083 15228 15373 15518 15663 15808 15953 16098 16243 16388 16533 16678
## [649] 16823 16968 17113 17258 17403 17548 17693 17838 17983 18128 18273 18418
## [661] 18563 18708 18853 18998 19143 19288 19433 19578 19723 19868 20013 20158
## [673] 20303 20448 20593 20738 20883 21028 21173 21318 21463 21608 21753 21898
## [685] 22043 22188 22333 22478 22623 22768 22913 23058 23203 23348 23493 23638
## [697] 23783 23928 24073 24218 24363 24508 24653 24798 24943 25088 25233 25378
## [709] 25523 25668 25813 25958 26103 26248 26393 26538 26683 26828 26973 27118
## [721] 27263 27408 27553 27698 27843 27988 28133 28278 28423 28568 28713 28858
## [733] 29003 29148 29293 29438 29583 29728 29873 30018 30163 30308 30453 30598
## [745] 30743 30888 31033 31178 31323 31468 31613 31758 31903 32048 32193 32338
## [757] 32483 32628 32773 32918 33063 33208 33353 33498 33643 33788 33933 34078
## [769] 34223 34368 34513 34658 34803 34948 35093 35238 35383 35528 35673 35818
## [781] 35963 36108 36253 36398 36543 36688 36833 36978 37123 37268 37413 37558
## [793] 37703 37848 37993 38138 38283 38428 4 149 294 439 584 729
## [805] 874 1019 1164 1309 1454 1599 1744 1889 2034 2179 2324 2469
## [817] 2614 2759 2904 3049 3194 3339 3484 3629 3774 3919 4064 4209
## [829] 4354 4499 4644 4789 4934 5079 5224 5369 5514 5659 5804 5949
## [841] 6094 6239 6384 6529 6674 6819 6964 7109 7254 7399 7544 7689
## [853] 7834 7979 8124 8269 8414 8559 8704 8849 8994 9139 9284 9429
## [865] 9574 9719 9864 10009 10154 10299 10444 10589 10734 10879 11024 11169
## [877] 11314 11459 11604 11749 11894 12039 12184 12329 12474 12619 12764 12909
## [889] 13054 13199 13344 13489 13634 13779 13924 14069 14214 14359 14504 14649
## [901] 14794 14939 15084 15229 15374 15519 15664 15809 15954 16099 16244 16389
## [913] 16534 16679 16824 16969 17114 17259 17404 17549 17694 17839 17984 18129
## [925] 18274 18419 18564 18709 18854 18999 19144 19289 19434 19579 19724 19869
## [937] 20014 20159 20304 20449 20594 20739 20884 21029 21174 21319 21464 21609
## [949] 21754 21899 22044 22189 22334 22479 22624 22769 22914 23059 23204 23349
## [961] 23494 23639 23784 23929 24074 24219 24364 24509 24654 24799 24944 25089
## [973] 25234 25379 25524 25669 25814 25959 26104 26249 26394 26539 26684 26829
## [985] 26974 27119 27264 27409 27554 27699 27844 27989 28134 28279 28424 28569
## [997] 28714 28859 29004 29149 29294 29439 29584 29729 29874 30019 30164 30309
## [1009] 30454 30599 30744 30889 31034 31179 31324 31469 31614 31759 31904 32049
## [1021] 32194 32339 32484 32629 32774 32919 33064 33209 33354 33499 33644 33789
## [1033] 33934 34079 34224 34369 34514 34659 34804 34949 35094 35239 35384 35529
## [1045] 35674 35819 35964 36109 36254 36399 36544 36689 36834 36979 37124 37269
## [1057] 37414 37559 37704 37849 37994 38139 38284 38429 5 150 295 440
## [1069] 585 730 875 1020 1165 1310 1455 1600 1745 1890 2035 2180
## [1081] 2325 2470 2615 2760 2905 3050 3195 3340 3485 3630 3775 3920
## [1093] 4065 4210 4355 4500 4645 4790 4935 5080 5225 5370 5515 5660
## [1105] 5805 5950 6095 6240 6385 6530 6675 6820 6965 7110 7255 7400
## [1117] 7545 7690 7835 7980 8125 8270 8415 8560 8705 8850 8995 9140
## [1129] 9285 9430 9575 9720 9865 10010 10155 10300 10445 10590 10735 10880
## [1141] 11025 11170 11315 11460 11605 11750 11895 12040 12185 12330 12475 12620
## [1153] 12765 12910 13055 13200 13345 13490 13635 13780 13925 14070 14215 14360
## [1165] 14505 14650 14795 14940 15085 15230 15375 15520 15665 15810 15955 16100
## [1177] 16245 16390 16535 16680 16825 16970 17115 17260 17405 17550 17695 17840
## [1189] 17985 18130 18275 18420 18565 18710 18855 19000 19145 19290 19435 19580
## [1201] 19725 19870 20015 20160 20305 20450 20595 20740 20885 21030 21175 21320
## [1213] 21465 21610 21755 21900 22045 22190 22335 22480 22625 22770 22915 23060
## [1225] 23205 23350 23495 23640 23785 23930 24075 24220 24365 24510 24655 24800
## [1237] 24945 25090 25235 25380 25525 25670 25815 25960 26105 26250 26395 26540
## [1249] 26685 26830 26975 27120 27265 27410 27555 27700 27845 27990 28135 28280
## [1261] 28425 28570 28715 28860 29005 29150 29295 29440 29585 29730 29875 30020
## [1273] 30165 30310 30455 30600 30745 30890 31035 31180 31325 31470 31615 31760
## [1285] 31905 32050 32195 32340 32485 32630 32775 32920 33065 33210 33355 33500
## [1297] 33645 33790 33935 34080 34225 34370 34515 34660 34805 34950 35095 35240
## [1309] 35385 35530 35675 35820 35965 36110 36255 36400 36545 36690 36835 36980
## [1321] 37125 37270 37415 37560 37705 37850 37995 38140 38285 38430 6 151
## [1333] 296 441 586 731 876 1021 1166 1311 1456 1601 1746 1891
## [1345] 2036 2181 2326 2471 2616 2761 2906 3051 3196 3341 3486 3631
## [1357] 3776 3921 4066 4211 4356 4501 4646 4791 4936 5081 5226 5371
## [1369] 5516 5661 5806 5951 6096 6241 6386 6531 6676 6821 6966 7111
## [1381] 7256 7401 7546 7691 7836 7981 8126 8271 8416 8561 8706 8851
## [1393] 8996 9141 9286 9431 9576 9721 9866 10011 10156 10301 10446 10591
## [1405] 10736 10881 11026 11171 11316 11461 11606 11751 11896 12041 12186 12331
## [1417] 12476 12621 12766 12911 13056 13201 13346 13491 13636 13781 13926 14071
## [1429] 14216 14361 14506 14651 14796 14941 15086 15231 15376 15521 15666 15811
## [1441] 15956 16101 16246 16391 16536 16681 16826 16971 17116 17261 17406 17551
## [1453] 17696 17841 17986 18131 18276 18421 18566 18711 18856 19001 19146 19291
## [1465] 19436 19581 19726 19871 20016 20161 20306 20451 20596 20741 20886 21031
## [1477] 21176 21321 21466 21611 21756 21901 22046 22191 22336 22481 22626 22771
## [1489] 22916 23061 23206 23351 23496 23641 23786 23931 24076 24221 24366 24511
## [1501] 24656 24801 24946 25091 25236 25381 25526 25671 25816 25961 26106 26251
## [1513] 26396 26541 26686 26831 26976 27121 27266 27411 27556 27701 27846 27991
## [1525] 28136 28281 28426 28571 28716 28861 29006 29151 29296 29441 29586 29731
## [1537] 29876 30021 30166 30311 30456 30601 30746 30891 31036 31181 31326 31471
## [1549] 31616 31761 31906 32051 32196 32341 32486 32631 32776 32921 33066 33211
## [1561] 33356 33501 33646 33791 33936 34081 34226 34371 34516 34661 34806 34951
## [1573] 35096 35241 35386 35531 35676 35821 35966 36111 36256 36401 36546 36691
## [1585] 36836 36981 37126 37271 37416 37561 37706 37851 37996 38141 38286 38431
## [1597] 7 152 297 442 587 732 877 1022 1167 1312 1457 1602
## [1609] 1747 1892 2037 2182 2327 2472 2617 2762 2907 3052 3197 3342
## [1621] 3487 3632 3777 3922 4067 4212 4357 4502 4647 4792 4937 5082
## [1633] 5227 5372 5517 5662 5807 5952 6097 6242 6387 6532 6677 6822
## [1645] 6967 7112 7257 7402 7547 7692 7837 7982 8127 8272 8417 8562
## [1657] 8707 8852 8997 9142 9287 9432 9577 9722 9867 10012 10157 10302
## [1669] 10447 10592 10737 10882 11027 11172 11317 11462 11607 11752 11897 12042
## [1681] 12187 12332 12477 12622 12767 12912 13057 13202 13347 13492 13637 13782
## [1693] 13927 14072 14217 14362 14507 14652 14797 14942 15087 15232 15377 15522
## [1705] 15667 15812 15957 16102 16247 16392 16537 16682 16827 16972 17117 17262
## [1717] 17407 17552 17697 17842 17987 18132 18277 18422 18567 18712 18857 19002
## [1729] 19147 19292 19437 19582 19727 19872 20017 20162 20307 20452 20597 20742
## [1741] 20887 21032 21177 21322 21467 21612 21757 21902 22047 22192 22337 22482
## [1753] 22627 22772 22917 23062 23207 23352 23497 23642 23787 23932 24077 24222
## [1765] 24367 24512 24657 24802 24947 25092 25237 25382 25527 25672 25817 25962
## [1777] 26107 26252 26397 26542 26687 26832 26977 27122 27267 27412 27557 27702
## [1789] 27847 27992 28137 28282 28427 28572 28717 28862 29007 29152 29297 29442
## [1801] 29587 29732 29877 30022 30167 30312 30457 30602 30747 30892 31037 31182
## [1813] 31327 31472 31617 31762 31907 32052 32197 32342 32487 32632 32777 32922
## [1825] 33067 33212 33357 33502 33647 33792 33937 34082 34227 34372 34517 34662
## [1837] 34807 34952 35097 35242 35387 35532 35677 35822 35967 36112 36257 36402
## [1849] 36547 36692 36837 36982 37127 37272 37417 37562 37707 37852 37997 38142
## [1861] 38287 38432 8 153 298 443 588 733 878 1023 1168 1313
## [1873] 1458 1603 1748 1893 2038 2183 2328 2473 2618 2763 2908 3053
## [1885] 3198 3343 3488 3633 3778 3923 4068 4213 4358 4503 4648 4793
## [1897] 4938 5083 5228 5373 5518 5663 5808 5953 6098 6243 6388 6533
## [1909] 6678 6823 6968 7113 7258 7403 7548 7693 7838 7983 8128 8273
## [1921] 8418 8563 8708 8853 8998 9143 9288 9433 9578 9723 9868 10013
## [1933] 10158 10303 10448 10593 10738 10883 11028 11173 11318 11463 11608 11753
## [1945] 11898 12043 12188 12333 12478 12623 12768 12913 13058 13203 13348 13493
## [1957] 13638 13783 13928 14073 14218 14363 14508 14653 14798 14943 15088 15233
## [1969] 15378 15523 15668 15813 15958 16103 16248 16393 16538 16683 16828 16973
## [1981] 17118 17263 17408 17553 17698 17843 17988 18133 18278 18423 18568 18713
## [1993] 18858 19003 19148 19293 19438 19583 19728 19873 20018 20163 20308 20453
## [2005] 20598 20743 20888 21033 21178 21323 21468 21613 21758 21903 22048 22193
## [2017] 22338 22483 22628 22773 22918 23063 23208 23353 23498 23643 23788 23933
## [2029] 24078 24223 24368 24513 24658 24803 24948 25093 25238 25383 25528 25673
## [2041] 25818 25963 26108 26253 26398 26543 26688 26833 26978 27123 27268 27413
## [2053] 27558 27703 27848 27993 28138 28283 28428 28573 28718 28863 29008 29153
## [2065] 29298 29443 29588 29733 29878 30023 30168 30313 30458 30603 30748 30893
## [2077] 31038 31183 31328 31473 31618 31763 31908 32053 32198 32343 32488 32633
## [2089] 32778 32923 33068 33213 33358 33503 33648 33793 33938 34083 34228 34373
## [2101] 34518 34663 34808 34953 35098 35243 35388 35533 35678 35823 35968 36113
## [2113] 36258 36403 36548 36693 36838 36983 37128 37273 37418 37563 37708 37853
## [2125] 37998 38143 38288 38433 9 154 299 444 589 734 879 1024
## [2137] 1169 1314 1459 1604 1749 1894 2039 2184 2329 2474 2619 2764
## [2149] 2909 3054 3199 3344 3489 3634 3779 3924 4069 4214 4359 4504
## [2161] 4649 4794 4939 5084 5229 5374 5519 5664 5809 5954 6099 6244
## [2173] 6389 6534 6679 6824 6969 7114 7259 7404 7549 7694 7839 7984
## [2185] 8129 8274 8419 8564 8709 8854 8999 9144 9289 9434 9579 9724
## [2197] 9869 10014 10159 10304 10449 10594 10739 10884 11029 11174 11319 11464
## [2209] 11609 11754 11899 12044 12189 12334 12479 12624 12769 12914 13059 13204
## [2221] 13349 13494 13639 13784 13929 14074 14219 14364 14509 14654 14799 14944
## [2233] 15089 15234 15379 15524 15669 15814 15959 16104 16249 16394 16539 16684
## [2245] 16829 16974 17119 17264 17409 17554 17699 17844 17989 18134 18279 18424
## [2257] 18569 18714 18859 19004 19149 19294 19439 19584 19729 19874 20019 20164
## [2269] 20309 20454 20599 20744 20889 21034 21179 21324 21469 21614 21759 21904
## [2281] 22049 22194 22339 22484 22629 22774 22919 23064 23209 23354 23499 23644
## [2293] 23789 23934 24079 24224 24369 24514 24659 24804 24949 25094 25239 25384
## [2305] 25529 25674 25819 25964 26109 26254 26399 26544 26689 26834 26979 27124
## [2317] 27269 27414 27559 27704 27849 27994 28139 28284 28429 28574 28719 28864
## [2329] 29009 29154 29299 29444 29589 29734 29879 30024 30169 30314 30459 30604
## [2341] 30749 30894 31039 31184 31329 31474 31619 31764 31909 32054 32199 32344
## [2353] 32489 32634 32779 32924 33069 33214 33359 33504 33649 33794 33939 34084
## [2365] 34229 34374 34519 34664 34809 34954 35099 35244 35389 35534 35679 35824
## [2377] 35969 36114 36259 36404 36549 36694 36839 36984 37129 37274 37419 37564
## [2389] 37709 37854 37999 38144 38289 38434 10 155 300 445 590 735
## [2401] 880 1025 1170 1315 1460 1605 1750 1895 2040 2185 2330 2475
## [2413] 2620 2765 2910 3055 3200 3345 3490 3635 3780 3925 4070 4215
## [2425] 4360 4505 4650 4795 4940 5085 5230 5375 5520 5665 5810 5955
## [2437] 6100 6245 6390 6535 6680 6825 6970 7115 7260 7405 7550 7695
## [2449] 7840 7985 8130 8275 8420 8565 8710 8855 9000 9145 9290 9435
## [2461] 9580 9725 9870 10015 10160 10305 10450 10595 10740 10885 11030 11175
## [2473] 11320 11465 11610 11755 11900 12045 12190 12335 12480 12625 12770 12915
## [2485] 13060 13205 13350 13495 13640 13785 13930 14075 14220 14365 14510 14655
## [2497] 14800 14945 15090 15235 15380 15525 15670 15815 15960 16105 16250 16395
## [2509] 16540 16685 16830 16975 17120 17265 17410 17555 17700 17845 17990 18135
## [2521] 18280 18425 18570 18715 18860 19005 19150 19295 19440 19585 19730 19875
## [2533] 20020 20165 20310 20455 20600 20745 20890 21035 21180 21325 21470 21615
## [2545] 21760 21905 22050 22195 22340 22485 22630 22775 22920 23065 23210 23355
## [2557] 23500 23645 23790 23935 24080 24225 24370 24515 24660 24805 24950 25095
## [2569] 25240 25385 25530 25675 25820 25965 26110 26255 26400 26545 26690 26835
## [2581] 26980 27125 27270 27415 27560 27705 27850 27995 28140 28285 28430 28575
## [2593] 28720 28865 29010 29155 29300 29445 29590 29735 29880 30025 30170 30315
## [2605] 30460 30605 30750 30895 31040 31185 31330 31475 31620 31765 31910 32055
## [2617] 32200 32345 32490 32635 32780 32925 33070 33215 33360 33505 33650 33795
## [2629] 33940 34085 34230 34375 34520 34665 34810 34955 35100 35245 35390 35535
## [2641] 35680 35825 35970 36115 36260 36405 36550 36695 36840 36985 37130 37275
## [2653] 37420 37565 37710 37855 38000 38145 38290 38435 11 156 301 446
## [2665] 591 736 881 1026 1171 1316 1461 1606 1751 1896 2041 2186
## [2677] 2331 2476 2621 2766 2911 3056 3201 3346 3491 3636 3781 3926
## [2689] 4071 4216 4361 4506 4651 4796 4941 5086 5231 5376 5521 5666
## [2701] 5811 5956 6101 6246 6391 6536 6681 6826 6971 7116 7261 7406
## [2713] 7551 7696 7841 7986 8131 8276 8421 8566 8711 8856 9001 9146
## [2725] 9291 9436 9581 9726 9871 10016 10161 10306 10451 10596 10741 10886
## [2737] 11031 11176 11321 11466 11611 11756 11901 12046 12191 12336 12481 12626
## [2749] 12771 12916 13061 13206 13351 13496 13641 13786 13931 14076 14221 14366
## [2761] 14511 14656 14801 14946 15091 15236 15381 15526 15671 15816 15961 16106
## [2773] 16251 16396 16541 16686 16831 16976 17121 17266 17411 17556 17701 17846
## [2785] 17991 18136 18281 18426 18571 18716 18861 19006 19151 19296 19441 19586
## [2797] 19731 19876 20021 20166 20311 20456 20601 20746 20891 21036 21181 21326
## [2809] 21471 21616 21761 21906 22051 22196 22341 22486 22631 22776 22921 23066
## [2821] 23211 23356 23501 23646 23791 23936 24081 24226 24371 24516 24661 24806
## [2833] 24951 25096 25241 25386 25531 25676 25821 25966 26111 26256 26401 26546
## [2845] 26691 26836 26981 27126 27271 27416 27561 27706 27851 27996 28141 28286
## [2857] 28431 28576 28721 28866 29011 29156 29301 29446 29591 29736 29881 30026
## [2869] 30171 30316 30461 30606 30751 30896 31041 31186 31331 31476 31621 31766
## [2881] 31911 32056 32201 32346 32491 32636 32781 32926 33071 33216 33361 33506
## [2893] 33651 33796 33941 34086 34231 34376 34521 34666 34811 34956 35101 35246
## [2905] 35391 35536 35681 35826 35971 36116 36261 36406 36551 36696 36841 36986
## [2917] 37131 37276 37421 37566 37711 37856 38001 38146 38291 38436 12 157
## [2929] 302 447 592 737 882 1027 1172 1317 1462 1607 1752 1897
## [2941] 2042 2187 2332 2477 2622 2767 2912 3057 3202 3347 3492 3637
## [2953] 3782 3927 4072 4217 4362 4507 4652 4797 4942 5087 5232 5377
## [2965] 5522 5667 5812 5957 6102 6247 6392 6537 6682 6827 6972 7117
## [2977] 7262 7407 7552 7697 7842 7987 8132 8277 8422 8567 8712 8857
## [2989] 9002 9147 9292 9437 9582 9727 9872 10017 10162 10307 10452 10597
## [3001] 10742 10887 11032 11177 11322 11467 11612 11757 11902 12047 12192 12337
## [3013] 12482 12627 12772 12917 13062 13207 13352 13497 13642 13787 13932 14077
## [3025] 14222 14367 14512 14657 14802 14947 15092 15237 15382 15527 15672 15817
## [3037] 15962 16107 16252 16397 16542 16687 16832 16977 17122 17267 17412 17557
## [3049] 17702 17847 17992 18137 18282 18427 18572 18717 18862 19007 19152 19297
## [3061] 19442 19587 19732 19877 20022 20167 20312 20457 20602 20747 20892 21037
## [3073] 21182 21327 21472 21617 21762 21907 22052 22197 22342 22487 22632 22777
## [3085] 22922 23067 23212 23357 23502 23647 23792 23937 24082 24227 24372 24517
## [3097] 24662 24807 24952 25097 25242 25387 25532 25677 25822 25967 26112 26257
## [3109] 26402 26547 26692 26837 26982 27127 27272 27417 27562 27707 27852 27997
## [3121] 28142 28287 28432 28577 28722 28867 29012 29157 29302 29447 29592 29737
## [3133] 29882 30027 30172 30317 30462 30607 30752 30897 31042 31187 31332 31477
## [3145] 31622 31767 31912 32057 32202 32347 32492 32637 32782 32927 33072 33217
## [3157] 33362 33507 33652 33797 33942 34087 34232 34377 34522 34667 34812 34957
## [3169] 35102 35247 35392 35537 35682 35827 35972 36117 36262 36407 36552 36697
## [3181] 36842 36987 37132 37277 37422 37567 37712 37857 38002 38147 38292 38437
## [3193] 13 158 303 448 593 738 883 1028 1173 1318 1463 1608
## [3205] 1753 1898 2043 2188 2333 2478 2623 2768 2913 3058 3203 3348
## [3217] 3493 3638 3783 3928 4073 4218 4363 4508 4653 4798 4943 5088
## [3229] 5233 5378 5523 5668 5813 5958 6103 6248 6393 6538 6683 6828
## [3241] 6973 7118 7263 7408 7553 7698 7843 7988 8133 8278 8423 8568
## [3253] 8713 8858 9003 9148 9293 9438 9583 9728 9873 10018 10163 10308
## [3265] 10453 10598 10743 10888 11033 11178 11323 11468 11613 11758 11903 12048
## [3277] 12193 12338 12483 12628 12773 12918 13063 13208 13353 13498 13643 13788
## [3289] 13933 14078 14223 14368 14513 14658 14803 14948 15093 15238 15383 15528
## [3301] 15673 15818 15963 16108 16253 16398 16543 16688 16833 16978 17123 17268
## [3313] 17413 17558 17703 17848 17993 18138 18283 18428 18573 18718 18863 19008
## [3325] 19153 19298 19443 19588 19733 19878 20023 20168 20313 20458 20603 20748
## [3337] 20893 21038 21183 21328 21473 21618 21763 21908 22053 22198 22343 22488
## [3349] 22633 22778 22923 23068 23213 23358 23503 23648 23793 23938 24083 24228
## [3361] 24373 24518 24663 24808 24953 25098 25243 25388 25533 25678 25823 25968
## [3373] 26113 26258 26403 26548 26693 26838 26983 27128 27273 27418 27563 27708
## [3385] 27853 27998 28143 28288 28433 28578 28723 28868 29013 29158 29303 29448
## [3397] 29593 29738 29883 30028 30173 30318 30463 30608 30753 30898 31043 31188
## [3409] 31333 31478 31623 31768 31913 32058 32203 32348 32493 32638 32783 32928
## [3421] 33073 33218 33363 33508 33653 33798 33943 34088 34233 34378 34523 34668
## [3433] 34813 34958 35103 35248 35393 35538 35683 35828 35973 36118 36263 36408
## [3445] 36553 36698 36843 36988 37133 37278 37423 37568 37713 37858 38003 38148
## [3457] 38293 38438 14 159 304 449 594 739 884 1029 1174 1319
## [3469] 1464 1609 1754 1899 2044 2189 2334 2479 2624 2769 2914 3059
## [3481] 3204 3349 3494 3639 3784 3929 4074 4219 4364 4509 4654 4799
## [3493] 4944 5089 5234 5379 5524 5669 5814 5959 6104 6249 6394 6539
## [3505] 6684 6829 6974 7119 7264 7409 7554 7699 7844 7989 8134 8279
## [3517] 8424 8569 8714 8859 9004 9149 9294 9439 9584 9729 9874 10019
## [3529] 10164 10309 10454 10599 10744 10889 11034 11179 11324 11469 11614 11759
## [3541] 11904 12049 12194 12339 12484 12629 12774 12919 13064 13209 13354 13499
## [3553] 13644 13789 13934 14079 14224 14369 14514 14659 14804 14949 15094 15239
## [3565] 15384 15529 15674 15819 15964 16109 16254 16399 16544 16689 16834 16979
## [3577] 17124 17269 17414 17559 17704 17849 17994 18139 18284 18429 18574 18719
## [3589] 18864 19009 19154 19299 19444 19589 19734 19879 20024 20169 20314 20459
## [3601] 20604 20749 20894 21039 21184 21329 21474 21619 21764 21909 22054 22199
## [3613] 22344 22489 22634 22779 22924 23069 23214 23359 23504 23649 23794 23939
## [3625] 24084 24229 24374 24519 24664 24809 24954 25099 25244 25389 25534 25679
## [3637] 25824 25969 26114 26259 26404 26549 26694 26839 26984 27129 27274 27419
## [3649] 27564 27709 27854 27999 28144 28289 28434 28579 28724 28869 29014 29159
## [3661] 29304 29449 29594 29739 29884 30029 30174 30319 30464 30609 30754 30899
## [3673] 31044 31189 31334 31479 31624 31769 31914 32059 32204 32349 32494 32639
## [3685] 32784 32929 33074 33219 33364 33509 33654 33799 33944 34089 34234 34379
## [3697] 34524 34669 34814 34959 35104 35249 35394 35539 35684 35829 35974 36119
## [3709] 36264 36409 36554 36699 36844 36989 37134 37279 37424 37569 37714 37859
## [3721] 38004 38149 38294 38439 15 160 305 450 595 740 885 1030
## [3733] 1175 1320 1465 1610 1755 1900 2045 2190 2335 2480 2625 2770
## [3745] 2915 3060 3205 3350 3495 3640 3785 3930 4075 4220 4365 4510
## [3757] 4655 4800 4945 5090 5235 5380 5525 5670 5815 5960 6105 6250
## [3769] 6395 6540 6685 6830 6975 7120 7265 7410 7555 7700 7845 7990
## [3781] 8135 8280 8425 8570 8715 8860 9005 9150 9295 9440 9585 9730
## [3793] 9875 10020 10165 10310 10455 10600 10745 10890 11035 11180 11325 11470
## [3805] 11615 11760 11905 12050 12195 12340 12485 12630 12775 12920 13065 13210
## [3817] 13355 13500 13645 13790 13935 14080 14225 14370 14515 14660 14805 14950
## [3829] 15095 15240 15385 15530 15675 15820 15965 16110 16255 16400 16545 16690
## [3841] 16835 16980 17125 17270 17415 17560 17705 17850 17995 18140 18285 18430
## [3853] 18575 18720 18865 19010 19155 19300 19445 19590 19735 19880 20025 20170
## [3865] 20315 20460 20605 20750 20895 21040 21185 21330 21475 21620 21765 21910
## [3877] 22055 22200 22345 22490 22635 22780 22925 23070 23215 23360 23505 23650
## [3889] 23795 23940 24085 24230 24375 24520 24665 24810 24955 25100 25245 25390
## [3901] 25535 25680 25825 25970 26115 26260 26405 26550 26695 26840 26985 27130
## [3913] 27275 27420 27565 27710 27855 28000 28145 28290 28435 28580 28725 28870
## [3925] 29015 29160 29305 29450 29595 29740 29885 30030 30175 30320 30465 30610
## [3937] 30755 30900 31045 31190 31335 31480 31625 31770 31915 32060 32205 32350
## [3949] 32495 32640 32785 32930 33075 33220 33365 33510 33655 33800 33945 34090
## [3961] 34235 34380 34525 34670 34815 34960 35105 35250 35395 35540 35685 35830
## [3973] 35975 36120 36265 36410 36555 36700 36845 36990 37135 37280 37425 37570
## [3985] 37715 37860 38005 38150 38295 38440 16 161 306 451 596 741
## [3997] 886 1031 1176 1321 1466 1611 1756 1901 2046 2191 2336 2481
## [4009] 2626 2771 2916 3061 3206 3351 3496 3641 3786 3931 4076 4221
## [4021] 4366 4511 4656 4801 4946 5091 5236 5381 5526 5671 5816 5961
## [4033] 6106 6251 6396 6541 6686 6831 6976 7121 7266 7411 7556 7701
## [4045] 7846 7991 8136 8281 8426 8571 8716 8861 9006 9151 9296 9441
## [4057] 9586 9731 9876 10021 10166 10311 10456 10601 10746 10891 11036 11181
## [4069] 11326 11471 11616 11761 11906 12051 12196 12341 12486 12631 12776 12921
## [4081] 13066 13211 13356 13501 13646 13791 13936 14081 14226 14371 14516 14661
## [4093] 14806 14951 15096 15241 15386 15531 15676 15821 15966 16111 16256 16401
## [4105] 16546 16691 16836 16981 17126 17271 17416 17561 17706 17851 17996 18141
## [4117] 18286 18431 18576 18721 18866 19011 19156 19301 19446 19591 19736 19881
## [4129] 20026 20171 20316 20461 20606 20751 20896 21041 21186 21331 21476 21621
## [4141] 21766 21911 22056 22201 22346 22491 22636 22781 22926 23071 23216 23361
## [4153] 23506 23651 23796 23941 24086 24231 24376 24521 24666 24811 24956 25101
## [4165] 25246 25391 25536 25681 25826 25971 26116 26261 26406 26551 26696 26841
## [4177] 26986 27131 27276 27421 27566 27711 27856 28001 28146 28291 28436 28581
## [4189] 28726 28871 29016 29161 29306 29451 29596 29741 29886 30031 30176 30321
## [4201] 30466 30611 30756 30901 31046 31191 31336 31481 31626 31771 31916 32061
## [4213] 32206 32351 32496 32641 32786 32931 33076 33221 33366 33511 33656 33801
## [4225] 33946 34091 34236 34381 34526 34671 34816 34961 35106 35251 35396 35541
## [4237] 35686 35831 35976 36121 36266 36411 36556 36701 36846 36991 37136 37281
## [4249] 37426 37571 37716 37861 38006 38151 38296 38441 17 162 307 452
## [4261] 597 742 887 1032 1177 1322 1467 1612 1757 1902 2047 2192
## [4273] 2337 2482 2627 2772 2917 3062 3207 3352 3497 3642 3787 3932
## [4285] 4077 4222 4367 4512 4657 4802 4947 5092 5237 5382 5527 5672
## [4297] 5817 5962 6107 6252 6397 6542 6687 6832 6977 7122 7267 7412
## [4309] 7557 7702 7847 7992 8137 8282 8427 8572 8717 8862 9007 9152
## [4321] 9297 9442 9587 9732 9877 10022 10167 10312 10457 10602 10747 10892
## [4333] 11037 11182 11327 11472 11617 11762 11907 12052 12197 12342 12487 12632
## [4345] 12777 12922 13067 13212 13357 13502 13647 13792 13937 14082 14227 14372
## [4357] 14517 14662 14807 14952 15097 15242 15387 15532 15677 15822 15967 16112
## [4369] 16257 16402 16547 16692 16837 16982 17127 17272 17417 17562 17707 17852
## [4381] 17997 18142 18287 18432 18577 18722 18867 19012 19157 19302 19447 19592
## [4393] 19737 19882 20027 20172 20317 20462 20607 20752 20897 21042 21187 21332
## [4405] 21477 21622 21767 21912 22057 22202 22347 22492 22637 22782 22927 23072
## [4417] 23217 23362 23507 23652 23797 23942 24087 24232 24377 24522 24667 24812
## [4429] 24957 25102 25247 25392 25537 25682 25827 25972 26117 26262 26407 26552
## [4441] 26697 26842 26987 27132 27277 27422 27567 27712 27857 28002 28147 28292
## [4453] 28437 28582 28727 28872 29017 29162 29307 29452 29597 29742 29887 30032
## [4465] 30177 30322 30467 30612 30757 30902 31047 31192 31337 31482 31627 31772
## [4477] 31917 32062 32207 32352 32497 32642 32787 32932 33077 33222 33367 33512
## [4489] 33657 33802 33947 34092 34237 34382 34527 34672 34817 34962 35107 35252
## [4501] 35397 35542 35687 35832 35977 36122 36267 36412 36557 36702 36847 36992
## [4513] 37137 37282 37427 37572 37717 37862 38007 38152 38297 38442 18 163
## [4525] 308 453 598 743 888 1033 1178 1323 1468 1613 1758 1903
## [4537] 2048 2193 2338 2483 2628 2773 2918 3063 3208 3353 3498 3643
## [4549] 3788 3933 4078 4223 4368 4513 4658 4803 4948 5093 5238 5383
## [4561] 5528 5673 5818 5963 6108 6253 6398 6543 6688 6833 6978 7123
## [4573] 7268 7413 7558 7703 7848 7993 8138 8283 8428 8573 8718 8863
## [4585] 9008 9153 9298 9443 9588 9733 9878 10023 10168 10313 10458 10603
## [4597] 10748 10893 11038 11183 11328 11473 11618 11763 11908 12053 12198 12343
## [4609] 12488 12633 12778 12923 13068 13213 13358 13503 13648 13793 13938 14083
## [4621] 14228 14373 14518 14663 14808 14953 15098 15243 15388 15533 15678 15823
## [4633] 15968 16113 16258 16403 16548 16693 16838 16983 17128 17273 17418 17563
## [4645] 17708 17853 17998 18143 18288 18433 18578 18723 18868 19013 19158 19303
## [4657] 19448 19593 19738 19883 20028 20173 20318 20463 20608 20753 20898 21043
## [4669] 21188 21333 21478 21623 21768 21913 22058 22203 22348 22493 22638 22783
## [4681] 22928 23073 23218 23363 23508 23653 23798 23943 24088 24233 24378 24523
## [4693] 24668 24813 24958 25103 25248 25393 25538 25683 25828 25973 26118 26263
## [4705] 26408 26553 26698 26843 26988 27133 27278 27423 27568 27713 27858 28003
## [4717] 28148 28293 28438 28583 28728 28873 29018 29163 29308 29453 29598 29743
## [4729] 29888 30033 30178 30323 30468 30613 30758 30903 31048 31193 31338 31483
## [4741] 31628 31773 31918 32063 32208 32353 32498 32643 32788 32933 33078 33223
## [4753] 33368 33513 33658 33803 33948 34093 34238 34383 34528 34673 34818 34963
## [4765] 35108 35253 35398 35543 35688 35833 35978 36123 36268 36413 36558 36703
## [4777] 36848 36993 37138 37283 37428 37573 37718 37863 38008 38153 38298 38443
## [4789] 19 164 309 454 599 744 889 1034 1179 1324 1469 1614
## [4801] 1759 1904 2049 2194 2339 2484 2629 2774 2919 3064 3209 3354
## [4813] 3499 3644 3789 3934 4079 4224 4369 4514 4659 4804 4949 5094
## [4825] 5239 5384 5529 5674 5819 5964 6109 6254 6399 6544 6689 6834
## [4837] 6979 7124 7269 7414 7559 7704 7849 7994 8139 8284 8429 8574
## [4849] 8719 8864 9009 9154 9299 9444 9589 9734 9879 10024 10169 10314
## [4861] 10459 10604 10749 10894 11039 11184 11329 11474 11619 11764 11909 12054
## [4873] 12199 12344 12489 12634 12779 12924 13069 13214 13359 13504 13649 13794
## [4885] 13939 14084 14229 14374 14519 14664 14809 14954 15099 15244 15389 15534
## [4897] 15679 15824 15969 16114 16259 16404 16549 16694 16839 16984 17129 17274
## [4909] 17419 17564 17709 17854 17999 18144 18289 18434 18579 18724 18869 19014
## [4921] 19159 19304 19449 19594 19739 19884 20029 20174 20319 20464 20609 20754
## [4933] 20899 21044 21189 21334 21479 21624 21769 21914 22059 22204 22349 22494
## [4945] 22639 22784 22929 23074 23219 23364 23509 23654 23799 23944 24089 24234
## [4957] 24379 24524 24669 24814 24959 25104 25249 25394 25539 25684 25829 25974
## [4969] 26119 26264 26409 26554 26699 26844 26989 27134 27279 27424 27569 27714
## [4981] 27859 28004 28149 28294 28439 28584 28729 28874 29019 29164 29309 29454
## [4993] 29599 29744 29889 30034 30179 30324 30469 30614 30759 30904 31049 31194
## [5005] 31339 31484 31629 31774 31919 32064 32209 32354 32499 32644 32789 32934
## [5017] 33079 33224 33369 33514 33659 33804 33949 34094 34239 34384 34529 34674
## [5029] 34819 34964 35109 35254 35399 35544 35689 35834 35979 36124 36269 36414
## [5041] 36559 36704 36849 36994 37139 37284 37429 37574 37719 37864 38009 38154
## [5053] 38299 38444 20 165 310 455 600 745 890 1035 1180 1325
## [5065] 1470 1615 1760 1905 2050 2195 2340 2485 2630 2775 2920 3065
## [5077] 3210 3355 3500 3645 3790 3935 4080 4225 4370 4515 4660 4805
## [5089] 4950 5095 5240 5385 5530 5675 5820 5965 6110 6255 6400 6545
## [5101] 6690 6835 6980 7125 7270 7415 7560 7705 7850 7995 8140 8285
## [5113] 8430 8575 8720 8865 9010 9155 9300 9445 9590 9735 9880 10025
## [5125] 10170 10315 10460 10605 10750 10895 11040 11185 11330 11475 11620 11765
## [5137] 11910 12055 12200 12345 12490 12635 12780 12925 13070 13215 13360 13505
## [5149] 13650 13795 13940 14085 14230 14375 14520 14665 14810 14955 15100 15245
## [5161] 15390 15535 15680 15825 15970 16115 16260 16405 16550 16695 16840 16985
## [5173] 17130 17275 17420 17565 17710 17855 18000 18145 18290 18435 18580 18725
## [5185] 18870 19015 19160 19305 19450 19595 19740 19885 20030 20175 20320 20465
## [5197] 20610 20755 20900 21045 21190 21335 21480 21625 21770 21915 22060 22205
## [5209] 22350 22495 22640 22785 22930 23075 23220 23365 23510 23655 23800 23945
## [5221] 24090 24235 24380 24525 24670 24815 24960 25105 25250 25395 25540 25685
## [5233] 25830 25975 26120 26265 26410 26555 26700 26845 26990 27135 27280 27425
## [5245] 27570 27715 27860 28005 28150 28295 28440 28585 28730 28875 29020 29165
## [5257] 29310 29455 29600 29745 29890 30035 30180 30325 30470 30615 30760 30905
## [5269] 31050 31195 31340 31485 31630 31775 31920 32065 32210 32355 32500 32645
## [5281] 32790 32935 33080 33225 33370 33515 33660 33805 33950 34095 34240 34385
## [5293] 34530 34675 34820 34965 35110 35255 35400 35545 35690 35835 35980 36125
## [5305] 36270 36415 36560 36705 36850 36995 37140 37285 37430 37575 37720 37865
## [5317] 38010 38155 38300 38445 21 166 311 456 601 746 891 1036
## [5329] 1181 1326 1471 1616 1761 1906 2051 2196 2341 2486 2631 2776
## [5341] 2921 3066 3211 3356 3501 3646 3791 3936 4081 4226 4371 4516
## [5353] 4661 4806 4951 5096 5241 5386 5531 5676 5821 5966 6111 6256
## [5365] 6401 6546 6691 6836 6981 7126 7271 7416 7561 7706 7851 7996
## [5377] 8141 8286 8431 8576 8721 8866 9011 9156 9301 9446 9591 9736
## [5389] 9881 10026 10171 10316 10461 10606 10751 10896 11041 11186 11331 11476
## [5401] 11621 11766 11911 12056 12201 12346 12491 12636 12781 12926 13071 13216
## [5413] 13361 13506 13651 13796 13941 14086 14231 14376 14521 14666 14811 14956
## [5425] 15101 15246 15391 15536 15681 15826 15971 16116 16261 16406 16551 16696
## [5437] 16841 16986 17131 17276 17421 17566 17711 17856 18001 18146 18291 18436
## [5449] 18581 18726 18871 19016 19161 19306 19451 19596 19741 19886 20031 20176
## [5461] 20321 20466 20611 20756 20901 21046 21191 21336 21481 21626 21771 21916
## [5473] 22061 22206 22351 22496 22641 22786 22931 23076 23221 23366 23511 23656
## [5485] 23801 23946 24091 24236 24381 24526 24671 24816 24961 25106 25251 25396
## [5497] 25541 25686 25831 25976 26121 26266 26411 26556 26701 26846 26991 27136
## [5509] 27281 27426 27571 27716 27861 28006 28151 28296 28441 28586 28731 28876
## [5521] 29021 29166 29311 29456 29601 29746 29891 30036 30181 30326 30471 30616
## [5533] 30761 30906 31051 31196 31341 31486 31631 31776 31921 32066 32211 32356
## [5545] 32501 32646 32791 32936 33081 33226 33371 33516 33661 33806 33951 34096
## [5557] 34241 34386 34531 34676 34821 34966 35111 35256 35401 35546 35691 35836
## [5569] 35981 36126 36271 36416 36561 36706 36851 36996 37141 37286 37431 37576
## [5581] 37721 37866 38011 38156 38301 38446 22 167 312 457 602 747
## [5593] 892 1037 1182 1327 1472 1617 1762 1907 2052 2197 2342 2487
## [5605] 2632 2777 2922 3067 3212 3357 3502 3647 3792 3937 4082 4227
## [5617] 4372 4517 4662 4807 4952 5097 5242 5387 5532 5677 5822 5967
## [5629] 6112 6257 6402 6547 6692 6837 6982 7127 7272 7417 7562 7707
## [5641] 7852 7997 8142 8287 8432 8577 8722 8867 9012 9157 9302 9447
## [5653] 9592 9737 9882 10027 10172 10317 10462 10607 10752 10897 11042 11187
## [5665] 11332 11477 11622 11767 11912 12057 12202 12347 12492 12637 12782 12927
## [5677] 13072 13217 13362 13507 13652 13797 13942 14087 14232 14377 14522 14667
## [5689] 14812 14957 15102 15247 15392 15537 15682 15827 15972 16117 16262 16407
## [5701] 16552 16697 16842 16987 17132 17277 17422 17567 17712 17857 18002 18147
## [5713] 18292 18437 18582 18727 18872 19017 19162 19307 19452 19597 19742 19887
## [5725] 20032 20177 20322 20467 20612 20757 20902 21047 21192 21337 21482 21627
## [5737] 21772 21917 22062 22207 22352 22497 22642 22787 22932 23077 23222 23367
## [5749] 23512 23657 23802 23947 24092 24237 24382 24527 24672 24817 24962 25107
## [5761] 25252 25397 25542 25687 25832 25977 26122 26267 26412 26557 26702 26847
## [5773] 26992 27137 27282 27427 27572 27717 27862 28007 28152 28297 28442 28587
## [5785] 28732 28877 29022 29167 29312 29457 29602 29747 29892 30037 30182 30327
## [5797] 30472 30617 30762 30907 31052 31197 31342 31487 31632 31777 31922 32067
## [5809] 32212 32357 32502 32647 32792 32937 33082 33227 33372 33517 33662 33807
## [5821] 33952 34097 34242 34387 34532 34677 34822 34967 35112 35257 35402 35547
## [5833] 35692 35837 35982 36127 36272 36417 36562 36707 36852 36997 37142 37287
## [5845] 37432 37577 37722 37867 38012 38157 38302 38447 23 168 313 458
## [5857] 603 748 893 1038 1183 1328 1473 1618 1763 1908 2053 2198
## [5869] 2343 2488 2633 2778 2923 3068 3213 3358 3503 3648 3793 3938
## [5881] 4083 4228 4373 4518 4663 4808 4953 5098 5243 5388 5533 5678
## [5893] 5823 5968 6113 6258 6403 6548 6693 6838 6983 7128 7273 7418
## [5905] 7563 7708 7853 7998 8143 8288 8433 8578 8723 8868 9013 9158
## [5917] 9303 9448 9593 9738 9883 10028 10173 10318 10463 10608 10753 10898
## [5929] 11043 11188 11333 11478 11623 11768 11913 12058 12203 12348 12493 12638
## [5941] 12783 12928 13073 13218 13363 13508 13653 13798 13943 14088 14233 14378
## [5953] 14523 14668 14813 14958 15103 15248 15393 15538 15683 15828 15973 16118
## [5965] 16263 16408 16553 16698 16843 16988 17133 17278 17423 17568 17713 17858
## [5977] 18003 18148 18293 18438 18583 18728 18873 19018 19163 19308 19453 19598
## [5989] 19743 19888 20033 20178 20323 20468 20613 20758 20903 21048 21193 21338
## [6001] 21483 21628 21773 21918 22063 22208 22353 22498 22643 22788 22933 23078
## [6013] 23223 23368 23513 23658 23803 23948 24093 24238 24383 24528 24673 24818
## [6025] 24963 25108 25253 25398 25543 25688 25833 25978 26123 26268 26413 26558
## [6037] 26703 26848 26993 27138 27283 27428 27573 27718 27863 28008 28153 28298
## [6049] 28443 28588 28733 28878 29023 29168 29313 29458 29603 29748 29893 30038
## [6061] 30183 30328 30473 30618 30763 30908 31053 31198 31343 31488 31633 31778
## [6073] 31923 32068 32213 32358 32503 32648 32793 32938 33083 33228 33373 33518
## [6085] 33663 33808 33953 34098 34243 34388 34533 34678 34823 34968 35113 35258
## [6097] 35403 35548 35693 35838 35983 36128 36273 36418 36563 36708 36853 36998
## [6109] 37143 37288 37433 37578 37723 37868 38013 38158 38303 38448 24 169
## [6121] 314 459 604 749 894 1039 1184 1329 1474 1619 1764 1909
## [6133] 2054 2199 2344 2489 2634 2779 2924 3069 3214 3359 3504 3649
## [6145] 3794 3939 4084 4229 4374 4519 4664 4809 4954 5099 5244 5389
## [6157] 5534 5679 5824 5969 6114 6259 6404 6549 6694 6839 6984 7129
## [6169] 7274 7419 7564 7709 7854 7999 8144 8289 8434 8579 8724 8869
## [6181] 9014 9159 9304 9449 9594 9739 9884 10029 10174 10319 10464 10609
## [6193] 10754 10899 11044 11189 11334 11479 11624 11769 11914 12059 12204 12349
## [6205] 12494 12639 12784 12929 13074 13219 13364 13509 13654 13799 13944 14089
## [6217] 14234 14379 14524 14669 14814 14959 15104 15249 15394 15539 15684 15829
## [6229] 15974 16119 16264 16409 16554 16699 16844 16989 17134 17279 17424 17569
## [6241] 17714 17859 18004 18149 18294 18439 18584 18729 18874 19019 19164 19309
## [6253] 19454 19599 19744 19889 20034 20179 20324 20469 20614 20759 20904 21049
## [6265] 21194 21339 21484 21629 21774 21919 22064 22209 22354 22499 22644 22789
## [6277] 22934 23079 23224 23369 23514 23659 23804 23949 24094 24239 24384 24529
## [6289] 24674 24819 24964 25109 25254 25399 25544 25689 25834 25979 26124 26269
## [6301] 26414 26559 26704 26849 26994 27139 27284 27429 27574 27719 27864 28009
## [6313] 28154 28299 28444 28589 28734 28879 29024 29169 29314 29459 29604 29749
## [6325] 29894 30039 30184 30329 30474 30619 30764 30909 31054 31199 31344 31489
## [6337] 31634 31779 31924 32069 32214 32359 32504 32649 32794 32939 33084 33229
## [6349] 33374 33519 33664 33809 33954 34099 34244 34389 34534 34679 34824 34969
## [6361] 35114 35259 35404 35549 35694 35839 35984 36129 36274 36419 36564 36709
## [6373] 36854 36999 37144 37289 37434 37579 37724 37869 38014 38159 38304 38449
## [6385] 25 170 315 460 605 750 895 1040 1185 1330 1475 1620
## [6397] 1765 1910 2055 2200 2345 2490 2635 2780 2925 3070 3215 3360
## [6409] 3505 3650 3795 3940 4085 4230 4375 4520 4665 4810 4955 5100
## [6421] 5245 5390 5535 5680 5825 5970 6115 6260 6405 6550 6695 6840
## [6433] 6985 7130 7275 7420 7565 7710 7855 8000 8145 8290 8435 8580
## [6445] 8725 8870 9015 9160 9305 9450 9595 9740 9885 10030 10175 10320
## [6457] 10465 10610 10755 10900 11045 11190 11335 11480 11625 11770 11915 12060
## [6469] 12205 12350 12495 12640 12785 12930 13075 13220 13365 13510 13655 13800
## [6481] 13945 14090 14235 14380 14525 14670 14815 14960 15105 15250 15395 15540
## [6493] 15685 15830 15975 16120 16265 16410 16555 16700 16845 16990 17135 17280
## [6505] 17425 17570 17715 17860 18005 18150 18295 18440 18585 18730 18875 19020
## [6517] 19165 19310 19455 19600 19745 19890 20035 20180 20325 20470 20615 20760
## [6529] 20905 21050 21195 21340 21485 21630 21775 21920 22065 22210 22355 22500
## [6541] 22645 22790 22935 23080 23225 23370 23515 23660 23805 23950 24095 24240
## [6553] 24385 24530 24675 24820 24965 25110 25255 25400 25545 25690 25835 25980
## [6565] 26125 26270 26415 26560 26705 26850 26995 27140 27285 27430 27575 27720
## [6577] 27865 28010 28155 28300 28445 28590 28735 28880 29025 29170 29315 29460
## [6589] 29605 29750 29895 30040 30185 30330 30475 30620 30765 30910 31055 31200
## [6601] 31345 31490 31635 31780 31925 32070 32215 32360 32505 32650 32795 32940
## [6613] 33085 33230 33375 33520 33665 33810 33955 34100 34245 34390 34535 34680
## [6625] 34825 34970 35115 35260 35405 35550 35695 35840 35985 36130 36275 36420
## [6637] 36565 36710 36855 37000 37145 37290 37435 37580 37725 37870 38015 38160
## [6649] 38305 38450 26 171 316 461 606 751 896 1041 1186 1331
## [6661] 1476 1621 1766 1911 2056 2201 2346 2491 2636 2781 2926 3071
## [6673] 3216 3361 3506 3651 3796 3941 4086 4231 4376 4521 4666 4811
## [6685] 4956 5101 5246 5391 5536 5681 5826 5971 6116 6261 6406 6551
## [6697] 6696 6841 6986 7131 7276 7421 7566 7711 7856 8001 8146 8291
## [6709] 8436 8581 8726 8871 9016 9161 9306 9451 9596 9741 9886 10031
## [6721] 10176 10321 10466 10611 10756 10901 11046 11191 11336 11481 11626 11771
## [6733] 11916 12061 12206 12351 12496 12641 12786 12931 13076 13221 13366 13511
## [6745] 13656 13801 13946 14091 14236 14381 14526 14671 14816 14961 15106 15251
## [6757] 15396 15541 15686 15831 15976 16121 16266 16411 16556 16701 16846 16991
## [6769] 17136 17281 17426 17571 17716 17861 18006 18151 18296 18441 18586 18731
## [6781] 18876 19021 19166 19311 19456 19601 19746 19891 20036 20181 20326 20471
## [6793] 20616 20761 20906 21051 21196 21341 21486 21631 21776 21921 22066 22211
## [6805] 22356 22501 22646 22791 22936 23081 23226 23371 23516 23661 23806 23951
## [6817] 24096 24241 24386 24531 24676 24821 24966 25111 25256 25401 25546 25691
## [6829] 25836 25981 26126 26271 26416 26561 26706 26851 26996 27141 27286 27431
## [6841] 27576 27721 27866 28011 28156 28301 28446 28591 28736 28881 29026 29171
## [6853] 29316 29461 29606 29751 29896 30041 30186 30331 30476 30621 30766 30911
## [6865] 31056 31201 31346 31491 31636 31781 31926 32071 32216 32361 32506 32651
## [6877] 32796 32941 33086 33231 33376 33521 33666 33811 33956 34101 34246 34391
## [6889] 34536 34681 34826 34971 35116 35261 35406 35551 35696 35841 35986 36131
## [6901] 36276 36421 36566 36711 36856 37001 37146 37291 37436 37581 37726 37871
## [6913] 38016 38161 38306 38451 27 172 317 462 607 752 897 1042
## [6925] 1187 1332 1477 1622 1767 1912 2057 2202 2347 2492 2637 2782
## [6937] 2927 3072 3217 3362 3507 3652 3797 3942 4087 4232 4377 4522
## [6949] 4667 4812 4957 5102 5247 5392 5537 5682 5827 5972 6117 6262
## [6961] 6407 6552 6697 6842 6987 7132 7277 7422 7567 7712 7857 8002
## [6973] 8147 8292 8437 8582 8727 8872 9017 9162 9307 9452 9597 9742
## [6985] 9887 10032 10177 10322 10467 10612 10757 10902 11047 11192 11337 11482
## [6997] 11627 11772 11917 12062 12207 12352 12497 12642 12787 12932 13077 13222
## [7009] 13367 13512 13657 13802 13947 14092 14237 14382 14527 14672 14817 14962
## [7021] 15107 15252 15397 15542 15687 15832 15977 16122 16267 16412 16557 16702
## [7033] 16847 16992 17137 17282 17427 17572 17717 17862 18007 18152 18297 18442
## [7045] 18587 18732 18877 19022 19167 19312 19457 19602 19747 19892 20037 20182
## [7057] 20327 20472 20617 20762 20907 21052 21197 21342 21487 21632 21777 21922
## [7069] 22067 22212 22357 22502 22647 22792 22937 23082 23227 23372 23517 23662
## [7081] 23807 23952 24097 24242 24387 24532 24677 24822 24967 25112 25257 25402
## [7093] 25547 25692 25837 25982 26127 26272 26417 26562 26707 26852 26997 27142
## [7105] 27287 27432 27577 27722 27867 28012 28157 28302 28447 28592 28737 28882
## [7117] 29027 29172 29317 29462 29607 29752 29897 30042 30187 30332 30477 30622
## [7129] 30767 30912 31057 31202 31347 31492 31637 31782 31927 32072 32217 32362
## [7141] 32507 32652 32797 32942 33087 33232 33377 33522 33667 33812 33957 34102
## [7153] 34247 34392 34537 34682 34827 34972 35117 35262 35407 35552 35697 35842
## [7165] 35987 36132 36277 36422 36567 36712 36857 37002 37147 37292 37437 37582
## [7177] 37727 37872 38017 38162 38307 38452 28 173 318 463 608 753
## [7189] 898 1043 1188 1333 1478 1623 1768 1913 2058 2203 2348 2493
## [7201] 2638 2783 2928 3073 3218 3363 3508 3653 3798 3943 4088 4233
## [7213] 4378 4523 4668 4813 4958 5103 5248 5393 5538 5683 5828 5973
## [7225] 6118 6263 6408 6553 6698 6843 6988 7133 7278 7423 7568 7713
## [7237] 7858 8003 8148 8293 8438 8583 8728 8873 9018 9163 9308 9453
## [7249] 9598 9743 9888 10033 10178 10323 10468 10613 10758 10903 11048 11193
## [7261] 11338 11483 11628 11773 11918 12063 12208 12353 12498 12643 12788 12933
## [7273] 13078 13223 13368 13513 13658 13803 13948 14093 14238 14383 14528 14673
## [7285] 14818 14963 15108 15253 15398 15543 15688 15833 15978 16123 16268 16413
## [7297] 16558 16703 16848 16993 17138 17283 17428 17573 17718 17863 18008 18153
## [7309] 18298 18443 18588 18733 18878 19023 19168 19313 19458 19603 19748 19893
## [7321] 20038 20183 20328 20473 20618 20763 20908 21053 21198 21343 21488 21633
## [7333] 21778 21923 22068 22213 22358 22503 22648 22793 22938 23083 23228 23373
## [7345] 23518 23663 23808 23953 24098 24243 24388 24533 24678 24823 24968 25113
## [7357] 25258 25403 25548 25693 25838 25983 26128 26273 26418 26563 26708 26853
## [7369] 26998 27143 27288 27433 27578 27723 27868 28013 28158 28303 28448 28593
## [7381] 28738 28883 29028 29173 29318 29463 29608 29753 29898 30043 30188 30333
## [7393] 30478 30623 30768 30913 31058 31203 31348 31493 31638 31783 31928 32073
## [7405] 32218 32363 32508 32653 32798 32943 33088 33233 33378 33523 33668 33813
## [7417] 33958 34103 34248 34393 34538 34683 34828 34973 35118 35263 35408 35553
## [7429] 35698 35843 35988 36133 36278 36423 36568 36713 36858 37003 37148 37293
## [7441] 37438 37583 37728 37873 38018 38163 38308 38453 29 174 319 464
## [7453] 609 754 899 1044 1189 1334 1479 1624 1769 1914 2059 2204
## [7465] 2349 2494 2639 2784 2929 3074 3219 3364 3509 3654 3799 3944
## [7477] 4089 4234 4379 4524 4669 4814 4959 5104 5249 5394 5539 5684
## [7489] 5829 5974 6119 6264 6409 6554 6699 6844 6989 7134 7279 7424
## [7501] 7569 7714 7859 8004 8149 8294 8439 8584 8729 8874 9019 9164
## [7513] 9309 9454 9599 9744 9889 10034 10179 10324 10469 10614 10759 10904
## [7525] 11049 11194 11339 11484 11629 11774 11919 12064 12209 12354 12499 12644
## [7537] 12789 12934 13079 13224 13369 13514 13659 13804 13949 14094 14239 14384
## [7549] 14529 14674 14819 14964 15109 15254 15399 15544 15689 15834 15979 16124
## [7561] 16269 16414 16559 16704 16849 16994 17139 17284 17429 17574 17719 17864
## [7573] 18009 18154 18299 18444 18589 18734 18879 19024 19169 19314 19459 19604
## [7585] 19749 19894 20039 20184 20329 20474 20619 20764 20909 21054 21199 21344
## [7597] 21489 21634 21779 21924 22069 22214 22359 22504 22649 22794 22939 23084
## [7609] 23229 23374 23519 23664 23809 23954 24099 24244 24389 24534 24679 24824
## [7621] 24969 25114 25259 25404 25549 25694 25839 25984 26129 26274 26419 26564
## [7633] 26709 26854 26999 27144 27289 27434 27579 27724 27869 28014 28159 28304
## [7645] 28449 28594 28739 28884 29029 29174 29319 29464 29609 29754 29899 30044
## [7657] 30189 30334 30479 30624 30769 30914 31059 31204 31349 31494 31639 31784
## [7669] 31929 32074 32219 32364 32509 32654 32799 32944 33089 33234 33379 33524
## [7681] 33669 33814 33959 34104 34249 34394 34539 34684 34829 34974 35119 35264
## [7693] 35409 35554 35699 35844 35989 36134 36279 36424 36569 36714 36859 37004
## [7705] 37149 37294 37439 37584 37729 37874 38019 38164 38309 38454 30 175
## [7717] 320 465 610 755 900 1045 1190 1335 1480 1625 1770 1915
## [7729] 2060 2205 2350 2495 2640 2785 2930 3075 3220 3365 3510 3655
## [7741] 3800 3945 4090 4235 4380 4525 4670 4815 4960 5105 5250 5395
## [7753] 5540 5685 5830 5975 6120 6265 6410 6555 6700 6845 6990 7135
## [7765] 7280 7425 7570 7715 7860 8005 8150 8295 8440 8585 8730 8875
## [7777] 9020 9165 9310 9455 9600 9745 9890 10035 10180 10325 10470 10615
## [7789] 10760 10905 11050 11195 11340 11485 11630 11775 11920 12065 12210 12355
## [7801] 12500 12645 12790 12935 13080 13225 13370 13515 13660 13805 13950 14095
## [7813] 14240 14385 14530 14675 14820 14965 15110 15255 15400 15545 15690 15835
## [7825] 15980 16125 16270 16415 16560 16705 16850 16995 17140 17285 17430 17575
## [7837] 17720 17865 18010 18155 18300 18445 18590 18735 18880 19025 19170 19315
## [7849] 19460 19605 19750 19895 20040 20185 20330 20475 20620 20765 20910 21055
## [7861] 21200 21345 21490 21635 21780 21925 22070 22215 22360 22505 22650 22795
## [7873] 22940 23085 23230 23375 23520 23665 23810 23955 24100 24245 24390 24535
## [7885] 24680 24825 24970 25115 25260 25405 25550 25695 25840 25985 26130 26275
## [7897] 26420 26565 26710 26855 27000 27145 27290 27435 27580 27725 27870 28015
## [7909] 28160 28305 28450 28595 28740 28885 29030 29175 29320 29465 29610 29755
## [7921] 29900 30045 30190 30335 30480 30625 30770 30915 31060 31205 31350 31495
## [7933] 31640 31785 31930 32075 32220 32365 32510 32655 32800 32945 33090 33235
## [7945] 33380 33525 33670 33815 33960 34105 34250 34395 34540 34685 34830 34975
## [7957] 35120 35265 35410 35555 35700 35845 35990 36135 36280 36425 36570 36715
## [7969] 36860 37005 37150 37295 37440 37585 37730 37875 38020 38165 38310 38455
## [7981] 31 176 321 466 611 756 901 1046 1191 1336 1481 1626
## [7993] 1771 1916 2061 2206 2351 2496 2641 2786 2931 3076 3221 3366
## [8005] 3511 3656 3801 3946 4091 4236 4381 4526 4671 4816 4961 5106
## [8017] 5251 5396 5541 5686 5831 5976 6121 6266 6411 6556 6701 6846
## [8029] 6991 7136 7281 7426 7571 7716 7861 8006 8151 8296 8441 8586
## [8041] 8731 8876 9021 9166 9311 9456 9601 9746 9891 10036 10181 10326
## [8053] 10471 10616 10761 10906 11051 11196 11341 11486 11631 11776 11921 12066
## [8065] 12211 12356 12501 12646 12791 12936 13081 13226 13371 13516 13661 13806
## [8077] 13951 14096 14241 14386 14531 14676 14821 14966 15111 15256 15401 15546
## [8089] 15691 15836 15981 16126 16271 16416 16561 16706 16851 16996 17141 17286
## [8101] 17431 17576 17721 17866 18011 18156 18301 18446 18591 18736 18881 19026
## [8113] 19171 19316 19461 19606 19751 19896 20041 20186 20331 20476 20621 20766
## [8125] 20911 21056 21201 21346 21491 21636 21781 21926 22071 22216 22361 22506
## [8137] 22651 22796 22941 23086 23231 23376 23521 23666 23811 23956 24101 24246
## [8149] 24391 24536 24681 24826 24971 25116 25261 25406 25551 25696 25841 25986
## [8161] 26131 26276 26421 26566 26711 26856 27001 27146 27291 27436 27581 27726
## [8173] 27871 28016 28161 28306 28451 28596 28741 28886 29031 29176 29321 29466
## [8185] 29611 29756 29901 30046 30191 30336 30481 30626 30771 30916 31061 31206
## [8197] 31351 31496 31641 31786 31931 32076 32221 32366 32511 32656 32801 32946
## [8209] 33091 33236 33381 33526 33671 33816 33961 34106 34251 34396 34541 34686
## [8221] 34831 34976 35121 35266 35411 35556 35701 35846 35991 36136 36281 36426
## [8233] 36571 36716 36861 37006 37151 37296 37441 37586 37731 37876 38021 38166
## [8245] 38311 38456 32 177 322 467 612 757 902 1047 1192 1337
## [8257] 1482 1627 1772 1917 2062 2207 2352 2497 2642 2787 2932 3077
## [8269] 3222 3367 3512 3657 3802 3947 4092 4237 4382 4527 4672 4817
## [8281] 4962 5107 5252 5397 5542 5687 5832 5977 6122 6267 6412 6557
## [8293] 6702 6847 6992 7137 7282 7427 7572 7717 7862 8007 8152 8297
## [8305] 8442 8587 8732 8877 9022 9167 9312 9457 9602 9747 9892 10037
## [8317] 10182 10327 10472 10617 10762 10907 11052 11197 11342 11487 11632 11777
## [8329] 11922 12067 12212 12357 12502 12647 12792 12937 13082 13227 13372 13517
## [8341] 13662 13807 13952 14097 14242 14387 14532 14677 14822 14967 15112 15257
## [8353] 15402 15547 15692 15837 15982 16127 16272 16417 16562 16707 16852 16997
## [8365] 17142 17287 17432 17577 17722 17867 18012 18157 18302 18447 18592 18737
## [8377] 18882 19027 19172 19317 19462 19607 19752 19897 20042 20187 20332 20477
## [8389] 20622 20767 20912 21057 21202 21347 21492 21637 21782 21927 22072 22217
## [8401] 22362 22507 22652 22797 22942 23087 23232 23377 23522 23667 23812 23957
## [8413] 24102 24247 24392 24537 24682 24827 24972 25117 25262 25407 25552 25697
## [8425] 25842 25987 26132 26277 26422 26567 26712 26857 27002 27147 27292 27437
## [8437] 27582 27727 27872 28017 28162 28307 28452 28597 28742 28887 29032 29177
## [8449] 29322 29467 29612 29757 29902 30047 30192 30337 30482 30627 30772 30917
## [8461] 31062 31207 31352 31497 31642 31787 31932 32077 32222 32367 32512 32657
## [8473] 32802 32947 33092 33237 33382 33527 33672 33817 33962 34107 34252 34397
## [8485] 34542 34687 34832 34977 35122 35267 35412 35557 35702 35847 35992 36137
## [8497] 36282 36427 36572 36717 36862 37007 37152 37297 37442 37587 37732 37877
## [8509] 38022 38167 38312 38457 33 178 323 468 613 758 903 1048
## [8521] 1193 1338 1483 1628 1773 1918 2063 2208 2353 2498 2643 2788
## [8533] 2933 3078 3223 3368 3513 3658 3803 3948 4093 4238 4383 4528
## [8545] 4673 4818 4963 5108 5253 5398 5543 5688 5833 5978 6123 6268
## [8557] 6413 6558 6703 6848 6993 7138 7283 7428 7573 7718 7863 8008
## [8569] 8153 8298 8443 8588 8733 8878 9023 9168 9313 9458 9603 9748
## [8581] 9893 10038 10183 10328 10473 10618 10763 10908 11053 11198 11343 11488
## [8593] 11633 11778 11923 12068 12213 12358 12503 12648 12793 12938 13083 13228
## [8605] 13373 13518 13663 13808 13953 14098 14243 14388 14533 14678 14823 14968
## [8617] 15113 15258 15403 15548 15693 15838 15983 16128 16273 16418 16563 16708
## [8629] 16853 16998 17143 17288 17433 17578 17723 17868 18013 18158 18303 18448
## [8641] 18593 18738 18883 19028 19173 19318 19463 19608 19753 19898 20043 20188
## [8653] 20333 20478 20623 20768 20913 21058 21203 21348 21493 21638 21783 21928
## [8665] 22073 22218 22363 22508 22653 22798 22943 23088 23233 23378 23523 23668
## [8677] 23813 23958 24103 24248 24393 24538 24683 24828 24973 25118 25263 25408
## [8689] 25553 25698 25843 25988 26133 26278 26423 26568 26713 26858 27003 27148
## [8701] 27293 27438 27583 27728 27873 28018 28163 28308 28453 28598 28743 28888
## [8713] 29033 29178 29323 29468 29613 29758 29903 30048 30193 30338 30483 30628
## [8725] 30773 30918 31063 31208 31353 31498 31643 31788 31933 32078 32223 32368
## [8737] 32513 32658 32803 32948 33093 33238 33383 33528 33673 33818 33963 34108
## [8749] 34253 34398 34543 34688 34833 34978 35123 35268 35413 35558 35703 35848
## [8761] 35993 36138 36283 36428 36573 36718 36863 37008 37153 37298 37443 37588
## [8773] 37733 37878 38023 38168 38313 38458 34 179 324 469 614 759
## [8785] 904 1049 1194 1339 1484 1629 1774 1919 2064 2209 2354 2499
## [8797] 2644 2789 2934 3079 3224 3369 3514 3659 3804 3949 4094 4239
## [8809] 4384 4529 4674 4819 4964 5109 5254 5399 5544 5689 5834 5979
## [8821] 6124 6269 6414 6559 6704 6849 6994 7139 7284 7429 7574 7719
## [8833] 7864 8009 8154 8299 8444 8589 8734 8879 9024 9169 9314 9459
## [8845] 9604 9749 9894 10039 10184 10329 10474 10619 10764 10909 11054 11199
## [8857] 11344 11489 11634 11779 11924 12069 12214 12359 12504 12649 12794 12939
## [8869] 13084 13229 13374 13519 13664 13809 13954 14099 14244 14389 14534 14679
## [8881] 14824 14969 15114 15259 15404 15549 15694 15839 15984 16129 16274 16419
## [8893] 16564 16709 16854 16999 17144 17289 17434 17579 17724 17869 18014 18159
## [8905] 18304 18449 18594 18739 18884 19029 19174 19319 19464 19609 19754 19899
## [8917] 20044 20189 20334 20479 20624 20769 20914 21059 21204 21349 21494 21639
## [8929] 21784 21929 22074 22219 22364 22509 22654 22799 22944 23089 23234 23379
## [8941] 23524 23669 23814 23959 24104 24249 24394 24539 24684 24829 24974 25119
## [8953] 25264 25409 25554 25699 25844 25989 26134 26279 26424 26569 26714 26859
## [8965] 27004 27149 27294 27439 27584 27729 27874 28019 28164 28309 28454 28599
## [8977] 28744 28889 29034 29179 29324 29469 29614 29759 29904 30049 30194 30339
## [8989] 30484 30629 30774 30919 31064 31209 31354 31499 31644 31789 31934 32079
## [9001] 32224 32369 32514 32659 32804 32949 33094 33239 33384 33529 33674 33819
## [9013] 33964 34109 34254 34399 34544 34689 34834 34979 35124 35269 35414 35559
## [9025] 35704 35849 35994 36139 36284 36429 36574 36719 36864 37009 37154 37299
## [9037] 37444 37589 37734 37879 38024 38169 38314 38459 35 180 325 470
## [9049] 615 760 905 1050 1195 1340 1485 1630 1775 1920 2065 2210
## [9061] 2355 2500 2645 2790 2935 3080 3225 3370 3515 3660 3805 3950
## [9073] 4095 4240 4385 4530 4675 4820 4965 5110 5255 5400 5545 5690
## [9085] 5835 5980 6125 6270 6415 6560 6705 6850 6995 7140 7285 7430
## [9097] 7575 7720 7865 8010 8155 8300 8445 8590 8735 8880 9025 9170
## [9109] 9315 9460 9605 9750 9895 10040 10185 10330 10475 10620 10765 10910
## [9121] 11055 11200 11345 11490 11635 11780 11925 12070 12215 12360 12505 12650
## [9133] 12795 12940 13085 13230 13375 13520 13665 13810 13955 14100 14245 14390
## [9145] 14535 14680 14825 14970 15115 15260 15405 15550 15695 15840 15985 16130
## [9157] 16275 16420 16565 16710 16855 17000 17145 17290 17435 17580 17725 17870
## [9169] 18015 18160 18305 18450 18595 18740 18885 19030 19175 19320 19465 19610
## [9181] 19755 19900 20045 20190 20335 20480 20625 20770 20915 21060 21205 21350
## [9193] 21495 21640 21785 21930 22075 22220 22365 22510 22655 22800 22945 23090
## [9205] 23235 23380 23525 23670 23815 23960 24105 24250 24395 24540 24685 24830
## [9217] 24975 25120 25265 25410 25555 25700 25845 25990 26135 26280 26425 26570
## [9229] 26715 26860 27005 27150 27295 27440 27585 27730 27875 28020 28165 28310
## [9241] 28455 28600 28745 28890 29035 29180 29325 29470 29615 29760 29905 30050
## [9253] 30195 30340 30485 30630 30775 30920 31065 31210 31355 31500 31645 31790
## [9265] 31935 32080 32225 32370 32515 32660 32805 32950 33095 33240 33385 33530
## [9277] 33675 33820 33965 34110 34255 34400 34545 34690 34835 34980 35125 35270
## [9289] 35415 35560 35705 35850 35995 36140 36285 36430 36575 36720 36865 37010
## [9301] 37155 37300 37445 37590 37735 37880 38025 38170 38315 38460 36 181
## [9313] 326 471 616 761 906 1051 1196 1341 1486 1631 1776 1921
## [9325] 2066 2211 2356 2501 2646 2791 2936 3081 3226 3371 3516 3661
## [9337] 3806 3951 4096 4241 4386 4531 4676 4821 4966 5111 5256 5401
## [9349] 5546 5691 5836 5981 6126 6271 6416 6561 6706 6851 6996 7141
## [9361] 7286 7431 7576 7721 7866 8011 8156 8301 8446 8591 8736 8881
## [9373] 9026 9171 9316 9461 9606 9751 9896 10041 10186 10331 10476 10621
## [9385] 10766 10911 11056 11201 11346 11491 11636 11781 11926 12071 12216 12361
## [9397] 12506 12651 12796 12941 13086 13231 13376 13521 13666 13811 13956 14101
## [9409] 14246 14391 14536 14681 14826 14971 15116 15261 15406 15551 15696 15841
## [9421] 15986 16131 16276 16421 16566 16711 16856 17001 17146 17291 17436 17581
## [9433] 17726 17871 18016 18161 18306 18451 18596 18741 18886 19031 19176 19321
## [9445] 19466 19611 19756 19901 20046 20191 20336 20481 20626 20771 20916 21061
## [9457] 21206 21351 21496 21641 21786 21931 22076 22221 22366 22511 22656 22801
## [9469] 22946 23091 23236 23381 23526 23671 23816 23961 24106 24251 24396 24541
## [9481] 24686 24831 24976 25121 25266 25411 25556 25701 25846 25991 26136 26281
## [9493] 26426 26571 26716 26861 27006 27151 27296 27441 27586 27731 27876 28021
## [9505] 28166 28311 28456 28601 28746 28891 29036 29181 29326 29471 29616 29761
## [9517] 29906 30051 30196 30341 30486 30631 30776 30921 31066 31211 31356 31501
## [9529] 31646 31791 31936 32081 32226 32371 32516 32661 32806 32951 33096 33241
## [9541] 33386 33531 33676 33821 33966 34111 34256 34401 34546 34691 34836 34981
## [9553] 35126 35271 35416 35561 35706 35851 35996 36141 36286 36431 36576 36721
## [9565] 36866 37011 37156 37301 37446 37591 37736 37881 38026 38171 38316 38461
## [9577] 37 182 327 472 617 762 907 1052 1197 1342 1487 1632
## [9589] 1777 1922 2067 2212 2357 2502 2647 2792 2937 3082 3227 3372
## [9601] 3517 3662 3807 3952 4097 4242 4387 4532 4677 4822 4967 5112
## [9613] 5257 5402 5547 5692 5837 5982 6127 6272 6417 6562 6707 6852
## [9625] 6997 7142 7287 7432 7577 7722 7867 8012 8157 8302 8447 8592
## [9637] 8737 8882 9027 9172 9317 9462 9607 9752 9897 10042 10187 10332
## [9649] 10477 10622 10767 10912 11057 11202 11347 11492 11637 11782 11927 12072
## [9661] 12217 12362 12507 12652 12797 12942 13087 13232 13377 13522 13667 13812
## [9673] 13957 14102 14247 14392 14537 14682 14827 14972 15117 15262 15407 15552
## [9685] 15697 15842 15987 16132 16277 16422 16567 16712 16857 17002 17147 17292
## [9697] 17437 17582 17727 17872 18017 18162 18307 18452 18597 18742 18887 19032
## [9709] 19177 19322 19467 19612 19757 19902 20047 20192 20337 20482 20627 20772
## [9721] 20917 21062 21207 21352 21497 21642 21787 21932 22077 22222 22367 22512
## [9733] 22657 22802 22947 23092 23237 23382 23527 23672 23817 23962 24107 24252
## [9745] 24397 24542 24687 24832 24977 25122 25267 25412 25557 25702 25847 25992
## [9757] 26137 26282 26427 26572 26717 26862 27007 27152 27297 27442 27587 27732
## [9769] 27877 28022 28167 28312 28457 28602 28747 28892 29037 29182 29327 29472
## [9781] 29617 29762 29907 30052 30197 30342 30487 30632 30777 30922 31067 31212
## [9793] 31357 31502 31647 31792 31937 32082 32227 32372 32517 32662 32807 32952
## [9805] 33097 33242 33387 33532 33677 33822 33967 34112 34257 34402 34547 34692
## [9817] 34837 34982 35127 35272 35417 35562 35707 35852 35997 36142 36287 36432
## [9829] 36577 36722 36867 37012 37157 37302 37447 37592 37737 37882 38027 38172
## [9841] 38317 38462 38 183 328 473 618 763 908 1053 1198 1343
## [9853] 1488 1633 1778 1923 2068 2213 2358 2503 2648 2793 2938 3083
## [9865] 3228 3373 3518 3663 3808 3953 4098 4243 4388 4533 4678 4823
## [9877] 4968 5113 5258 5403 5548 5693 5838 5983 6128 6273 6418 6563
## [9889] 6708 6853 6998 7143 7288 7433 7578 7723 7868 8013 8158 8303
## [9901] 8448 8593 8738 8883 9028 9173 9318 9463 9608 9753 9898 10043
## [9913] 10188 10333 10478 10623 10768 10913 11058 11203 11348 11493 11638 11783
## [9925] 11928 12073 12218 12363 12508 12653 12798 12943 13088 13233 13378 13523
## [9937] 13668 13813 13958 14103 14248 14393 14538 14683 14828 14973 15118 15263
## [9949] 15408 15553 15698 15843 15988 16133 16278 16423 16568 16713 16858 17003
## [9961] 17148 17293 17438 17583 17728 17873 18018 18163 18308 18453 18598 18743
## [9973] 18888 19033 19178 19323 19468 19613 19758 19903 20048 20193 20338 20483
## [9985] 20628 20773 20918 21063 21208 21353 21498 21643 21788 21933 22078 22223
## [9997] 22368 22513 22658 22803 22948 23093 23238 23383 23528 23673 23818 23963
## [10009] 24108 24253 24398 24543 24688 24833 24978 25123 25268 25413 25558 25703
## [10021] 25848 25993 26138 26283 26428 26573 26718 26863 27008 27153 27298 27443
## [10033] 27588 27733 27878 28023 28168 28313 28458 28603 28748 28893 29038 29183
## [10045] 29328 29473 29618 29763 29908 30053 30198 30343 30488 30633 30778 30923
## [10057] 31068 31213 31358 31503 31648 31793 31938 32083 32228 32373 32518 32663
## [10069] 32808 32953 33098 33243 33388 33533 33678 33823 33968 34113 34258 34403
## [10081] 34548 34693 34838 34983 35128 35273 35418 35563 35708 35853 35998 36143
## [10093] 36288 36433 36578 36723 36868 37013 37158 37303 37448 37593 37738 37883
## [10105] 38028 38173 38318 38463 39 184 329 474 619 764 909 1054
## [10117] 1199 1344 1489 1634 1779 1924 2069 2214 2359 2504 2649 2794
## [10129] 2939 3084 3229 3374 3519 3664 3809 3954 4099 4244 4389 4534
## [10141] 4679 4824 4969 5114 5259 5404 5549 5694 5839 5984 6129 6274
## [10153] 6419 6564 6709 6854 6999 7144 7289 7434 7579 7724 7869 8014
## [10165] 8159 8304 8449 8594 8739 8884 9029 9174 9319 9464 9609 9754
## [10177] 9899 10044 10189 10334 10479 10624 10769 10914 11059 11204 11349 11494
## [10189] 11639 11784 11929 12074 12219 12364 12509 12654 12799 12944 13089 13234
## [10201] 13379 13524 13669 13814 13959 14104 14249 14394 14539 14684 14829 14974
## [10213] 15119 15264 15409 15554 15699 15844 15989 16134 16279 16424 16569 16714
## [10225] 16859 17004 17149 17294 17439 17584 17729 17874 18019 18164 18309 18454
## [10237] 18599 18744 18889 19034 19179 19324 19469 19614 19759 19904 20049 20194
## [10249] 20339 20484 20629 20774 20919 21064 21209 21354 21499 21644 21789 21934
## [10261] 22079 22224 22369 22514 22659 22804 22949 23094 23239 23384 23529 23674
## [10273] 23819 23964 24109 24254 24399 24544 24689 24834 24979 25124 25269 25414
## [10285] 25559 25704 25849 25994 26139 26284 26429 26574 26719 26864 27009 27154
## [10297] 27299 27444 27589 27734 27879 28024 28169 28314 28459 28604 28749 28894
## [10309] 29039 29184 29329 29474 29619 29764 29909 30054 30199 30344 30489 30634
## [10321] 30779 30924 31069 31214 31359 31504 31649 31794 31939 32084 32229 32374
## [10333] 32519 32664 32809 32954 33099 33244 33389 33534 33679 33824 33969 34114
## [10345] 34259 34404 34549 34694 34839 34984 35129 35274 35419 35564 35709 35854
## [10357] 35999 36144 36289 36434 36579 36724 36869 37014 37159 37304 37449 37594
## [10369] 37739 37884 38029 38174 38319 38464 40 185 330 475 620 765
## [10381] 910 1055 1200 1345 1490 1635 1780 1925 2070 2215 2360 2505
## [10393] 2650 2795 2940 3085 3230 3375 3520 3665 3810 3955 4100 4245
## [10405] 4390 4535 4680 4825 4970 5115 5260 5405 5550 5695 5840 5985
## [10417] 6130 6275 6420 6565 6710 6855 7000 7145 7290 7435 7580 7725
## [10429] 7870 8015 8160 8305 8450 8595 8740 8885 9030 9175 9320 9465
## [10441] 9610 9755 9900 10045 10190 10335 10480 10625 10770 10915 11060 11205
## [10453] 11350 11495 11640 11785 11930 12075 12220 12365 12510 12655 12800 12945
## [10465] 13090 13235 13380 13525 13670 13815 13960 14105 14250 14395 14540 14685
## [10477] 14830 14975 15120 15265 15410 15555 15700 15845 15990 16135 16280 16425
## [10489] 16570 16715 16860 17005 17150 17295 17440 17585 17730 17875 18020 18165
## [10501] 18310 18455 18600 18745 18890 19035 19180 19325 19470 19615 19760 19905
## [10513] 20050 20195 20340 20485 20630 20775 20920 21065 21210 21355 21500 21645
## [10525] 21790 21935 22080 22225 22370 22515 22660 22805 22950 23095 23240 23385
## [10537] 23530 23675 23820 23965 24110 24255 24400 24545 24690 24835 24980 25125
## [10549] 25270 25415 25560 25705 25850 25995 26140 26285 26430 26575 26720 26865
## [10561] 27010 27155 27300 27445 27590 27735 27880 28025 28170 28315 28460 28605
## [10573] 28750 28895 29040 29185 29330 29475 29620 29765 29910 30055 30200 30345
## [10585] 30490 30635 30780 30925 31070 31215 31360 31505 31650 31795 31940 32085
## [10597] 32230 32375 32520 32665 32810 32955 33100 33245 33390 33535 33680 33825
## [10609] 33970 34115 34260 34405 34550 34695 34840 34985 35130 35275 35420 35565
## [10621] 35710 35855 36000 36145 36290 36435 36580 36725 36870 37015 37160 37305
## [10633] 37450 37595 37740 37885 38030 38175 38320 38465 41 186 331 476
## [10645] 621 766 911 1056 1201 1346 1491 1636 1781 1926 2071 2216
## [10657] 2361 2506 2651 2796 2941 3086 3231 3376 3521 3666 3811 3956
## [10669] 4101 4246 4391 4536 4681 4826 4971 5116 5261 5406 5551 5696
## [10681] 5841 5986 6131 6276 6421 6566 6711 6856 7001 7146 7291 7436
## [10693] 7581 7726 7871 8016 8161 8306 8451 8596 8741 8886 9031 9176
## [10705] 9321 9466 9611 9756 9901 10046 10191 10336 10481 10626 10771 10916
## [10717] 11061 11206 11351 11496 11641 11786 11931 12076 12221 12366 12511 12656
## [10729] 12801 12946 13091 13236 13381 13526 13671 13816 13961 14106 14251 14396
## [10741] 14541 14686 14831 14976 15121 15266 15411 15556 15701 15846 15991 16136
## [10753] 16281 16426 16571 16716 16861 17006 17151 17296 17441 17586 17731 17876
## [10765] 18021 18166 18311 18456 18601 18746 18891 19036 19181 19326 19471 19616
## [10777] 19761 19906 20051 20196 20341 20486 20631 20776 20921 21066 21211 21356
## [10789] 21501 21646 21791 21936 22081 22226 22371 22516 22661 22806 22951 23096
## [10801] 23241 23386 23531 23676 23821 23966 24111 24256 24401 24546 24691 24836
## [10813] 24981 25126 25271 25416 25561 25706 25851 25996 26141 26286 26431 26576
## [10825] 26721 26866 27011 27156 27301 27446 27591 27736 27881 28026 28171 28316
## [10837] 28461 28606 28751 28896 29041 29186 29331 29476 29621 29766 29911 30056
## [10849] 30201 30346 30491 30636 30781 30926 31071 31216 31361 31506 31651 31796
## [10861] 31941 32086 32231 32376 32521 32666 32811 32956 33101 33246 33391 33536
## [10873] 33681 33826 33971 34116 34261 34406 34551 34696 34841 34986 35131 35276
## [10885] 35421 35566 35711 35856 36001 36146 36291 36436 36581 36726 36871 37016
## [10897] 37161 37306 37451 37596 37741 37886 38031 38176 38321 38466 42 187
## [10909] 332 477 622 767 912 1057 1202 1347 1492 1637 1782 1927
## [10921] 2072 2217 2362 2507 2652 2797 2942 3087 3232 3377 3522 3667
## [10933] 3812 3957 4102 4247 4392 4537 4682 4827 4972 5117 5262 5407
## [10945] 5552 5697 5842 5987 6132 6277 6422 6567 6712 6857 7002 7147
## [10957] 7292 7437 7582 7727 7872 8017 8162 8307 8452 8597 8742 8887
## [10969] 9032 9177 9322 9467 9612 9757 9902 10047 10192 10337 10482 10627
## [10981] 10772 10917 11062 11207 11352 11497 11642 11787 11932 12077 12222 12367
## [10993] 12512 12657 12802 12947 13092 13237 13382 13527 13672 13817 13962 14107
## [11005] 14252 14397 14542 14687 14832 14977 15122 15267 15412 15557 15702 15847
## [11017] 15992 16137 16282 16427 16572 16717 16862 17007 17152 17297 17442 17587
## [11029] 17732 17877 18022 18167 18312 18457 18602 18747 18892 19037 19182 19327
## [11041] 19472 19617 19762 19907 20052 20197 20342 20487 20632 20777 20922 21067
## [11053] 21212 21357 21502 21647 21792 21937 22082 22227 22372 22517 22662 22807
## [11065] 22952 23097 23242 23387 23532 23677 23822 23967 24112 24257 24402 24547
## [11077] 24692 24837 24982 25127 25272 25417 25562 25707 25852 25997 26142 26287
## [11089] 26432 26577 26722 26867 27012 27157 27302 27447 27592 27737 27882 28027
## [11101] 28172 28317 28462 28607 28752 28897 29042 29187 29332 29477 29622 29767
## [11113] 29912 30057 30202 30347 30492 30637 30782 30927 31072 31217 31362 31507
## [11125] 31652 31797 31942 32087 32232 32377 32522 32667 32812 32957 33102 33247
## [11137] 33392 33537 33682 33827 33972 34117 34262 34407 34552 34697 34842 34987
## [11149] 35132 35277 35422 35567 35712 35857 36002 36147 36292 36437 36582 36727
## [11161] 36872 37017 37162 37307 37452 37597 37742 37887 38032 38177 38322 38467
## [11173] 43 188 333 478 623 768 913 1058 1203 1348 1493 1638
## [11185] 1783 1928 2073 2218 2363 2508 2653 2798 2943 3088 3233 3378
## [11197] 3523 3668 3813 3958 4103 4248 4393 4538 4683 4828 4973 5118
## [11209] 5263 5408 5553 5698 5843 5988 6133 6278 6423 6568 6713 6858
## [11221] 7003 7148 7293 7438 7583 7728 7873 8018 8163 8308 8453 8598
## [11233] 8743 8888 9033 9178 9323 9468 9613 9758 9903 10048 10193 10338
## [11245] 10483 10628 10773 10918 11063 11208 11353 11498 11643 11788 11933 12078
## [11257] 12223 12368 12513 12658 12803 12948 13093 13238 13383 13528 13673 13818
## [11269] 13963 14108 14253 14398 14543 14688 14833 14978 15123 15268 15413 15558
## [11281] 15703 15848 15993 16138 16283 16428 16573 16718 16863 17008 17153 17298
## [11293] 17443 17588 17733 17878 18023 18168 18313 18458 18603 18748 18893 19038
## [11305] 19183 19328 19473 19618 19763 19908 20053 20198 20343 20488 20633 20778
## [11317] 20923 21068 21213 21358 21503 21648 21793 21938 22083 22228 22373 22518
## [11329] 22663 22808 22953 23098 23243 23388 23533 23678 23823 23968 24113 24258
## [11341] 24403 24548 24693 24838 24983 25128 25273 25418 25563 25708 25853 25998
## [11353] 26143 26288 26433 26578 26723 26868 27013 27158 27303 27448 27593 27738
## [11365] 27883 28028 28173 28318 28463 28608 28753 28898 29043 29188 29333 29478
## [11377] 29623 29768 29913 30058 30203 30348 30493 30638 30783 30928 31073 31218
## [11389] 31363 31508 31653 31798 31943 32088 32233 32378 32523 32668 32813 32958
## [11401] 33103 33248 33393 33538 33683 33828 33973 34118 34263 34408 34553 34698
## [11413] 34843 34988 35133 35278 35423 35568 35713 35858 36003 36148 36293 36438
## [11425] 36583 36728 36873 37018 37163 37308 37453 37598 37743 37888 38033 38178
## [11437] 38323 38468 44 189 334 479 624 769 914 1059 1204 1349
## [11449] 1494 1639 1784 1929 2074 2219 2364 2509 2654 2799 2944 3089
## [11461] 3234 3379 3524 3669 3814 3959 4104 4249 4394 4539 4684 4829
## [11473] 4974 5119 5264 5409 5554 5699 5844 5989 6134 6279 6424 6569
## [11485] 6714 6859 7004 7149 7294 7439 7584 7729 7874 8019 8164 8309
## [11497] 8454 8599 8744 8889 9034 9179 9324 9469 9614 9759 9904 10049
## [11509] 10194 10339 10484 10629 10774 10919 11064 11209 11354 11499 11644 11789
## [11521] 11934 12079 12224 12369 12514 12659 12804 12949 13094 13239 13384 13529
## [11533] 13674 13819 13964 14109 14254 14399 14544 14689 14834 14979 15124 15269
## [11545] 15414 15559 15704 15849 15994 16139 16284 16429 16574 16719 16864 17009
## [11557] 17154 17299 17444 17589 17734 17879 18024 18169 18314 18459 18604 18749
## [11569] 18894 19039 19184 19329 19474 19619 19764 19909 20054 20199 20344 20489
## [11581] 20634 20779 20924 21069 21214 21359 21504 21649 21794 21939 22084 22229
## [11593] 22374 22519 22664 22809 22954 23099 23244 23389 23534 23679 23824 23969
## [11605] 24114 24259 24404 24549 24694 24839 24984 25129 25274 25419 25564 25709
## [11617] 25854 25999 26144 26289 26434 26579 26724 26869 27014 27159 27304 27449
## [11629] 27594 27739 27884 28029 28174 28319 28464 28609 28754 28899 29044 29189
## [11641] 29334 29479 29624 29769 29914 30059 30204 30349 30494 30639 30784 30929
## [11653] 31074 31219 31364 31509 31654 31799 31944 32089 32234 32379 32524 32669
## [11665] 32814 32959 33104 33249 33394 33539 33684 33829 33974 34119 34264 34409
## [11677] 34554 34699 34844 34989 35134 35279 35424 35569 35714 35859 36004 36149
## [11689] 36294 36439 36584 36729 36874 37019 37164 37309 37454 37599 37744 37889
## [11701] 38034 38179 38324 38469 45 190 335 480 625 770 915 1060
## [11713] 1205 1350 1495 1640 1785 1930 2075 2220 2365 2510 2655 2800
## [11725] 2945 3090 3235 3380 3525 3670 3815 3960 4105 4250 4395 4540
## [11737] 4685 4830 4975 5120 5265 5410 5555 5700 5845 5990 6135 6280
## [11749] 6425 6570 6715 6860 7005 7150 7295 7440 7585 7730 7875 8020
## [11761] 8165 8310 8455 8600 8745 8890 9035 9180 9325 9470 9615 9760
## [11773] 9905 10050 10195 10340 10485 10630 10775 10920 11065 11210 11355 11500
## [11785] 11645 11790 11935 12080 12225 12370 12515 12660 12805 12950 13095 13240
## [11797] 13385 13530 13675 13820 13965 14110 14255 14400 14545 14690 14835 14980
## [11809] 15125 15270 15415 15560 15705 15850 15995 16140 16285 16430 16575 16720
## [11821] 16865 17010 17155 17300 17445 17590 17735 17880 18025 18170 18315 18460
## [11833] 18605 18750 18895 19040 19185 19330 19475 19620 19765 19910 20055 20200
## [11845] 20345 20490 20635 20780 20925 21070 21215 21360 21505 21650 21795 21940
## [11857] 22085 22230 22375 22520 22665 22810 22955 23100 23245 23390 23535 23680
## [11869] 23825 23970 24115 24260 24405 24550 24695 24840 24985 25130 25275 25420
## [11881] 25565 25710 25855 26000 26145 26290 26435 26580 26725 26870 27015 27160
## [11893] 27305 27450 27595 27740 27885 28030 28175 28320 28465 28610 28755 28900
## [11905] 29045 29190 29335 29480 29625 29770 29915 30060 30205 30350 30495 30640
## [11917] 30785 30930 31075 31220 31365 31510 31655 31800 31945 32090 32235 32380
## [11929] 32525 32670 32815 32960 33105 33250 33395 33540 33685 33830 33975 34120
## [11941] 34265 34410 34555 34700 34845 34990 35135 35280 35425 35570 35715 35860
## [11953] 36005 36150 36295 36440 36585 36730 36875 37020 37165 37310 37455 37600
## [11965] 37745 37890 38035 38180 38325 38470 46 191 336 481 626 771
## [11977] 916 1061 1206 1351 1496 1641 1786 1931 2076 2221 2366 2511
## [11989] 2656 2801 2946 3091 3236 3381 3526 3671 3816 3961 4106 4251
## [12001] 4396 4541 4686 4831 4976 5121 5266 5411 5556 5701 5846 5991
## [12013] 6136 6281 6426 6571 6716 6861 7006 7151 7296 7441 7586 7731
## [12025] 7876 8021 8166 8311 8456 8601 8746 8891 9036 9181 9326 9471
## [12037] 9616 9761 9906 10051 10196 10341 10486 10631 10776 10921 11066 11211
## [12049] 11356 11501 11646 11791 11936 12081 12226 12371 12516 12661 12806 12951
## [12061] 13096 13241 13386 13531 13676 13821 13966 14111 14256 14401 14546 14691
## [12073] 14836 14981 15126 15271 15416 15561 15706 15851 15996 16141 16286 16431
## [12085] 16576 16721 16866 17011 17156 17301 17446 17591 17736 17881 18026 18171
## [12097] 18316 18461 18606 18751 18896 19041 19186 19331 19476 19621 19766 19911
## [12109] 20056 20201 20346 20491 20636 20781 20926 21071 21216 21361 21506 21651
## [12121] 21796 21941 22086 22231 22376 22521 22666 22811 22956 23101 23246 23391
## [12133] 23536 23681 23826 23971 24116 24261 24406 24551 24696 24841 24986 25131
## [12145] 25276 25421 25566 25711 25856 26001 26146 26291 26436 26581 26726 26871
## [12157] 27016 27161 27306 27451 27596 27741 27886 28031 28176 28321 28466 28611
## [12169] 28756 28901 29046 29191 29336 29481 29626 29771 29916 30061 30206 30351
## [12181] 30496 30641 30786 30931 31076 31221 31366 31511 31656 31801 31946 32091
## [12193] 32236 32381 32526 32671 32816 32961 33106 33251 33396 33541 33686 33831
## [12205] 33976 34121 34266 34411 34556 34701 34846 34991 35136 35281 35426 35571
## [12217] 35716 35861 36006 36151 36296 36441 36586 36731 36876 37021 37166 37311
## [12229] 37456 37601 37746 37891 38036 38181 38326 38471 47 192 337 482
## [12241] 627 772 917 1062 1207 1352 1497 1642 1787 1932 2077 2222
## [12253] 2367 2512 2657 2802 2947 3092 3237 3382 3527 3672 3817 3962
## [12265] 4107 4252 4397 4542 4687 4832 4977 5122 5267 5412 5557 5702
## [12277] 5847 5992 6137 6282 6427 6572 6717 6862 7007 7152 7297 7442
## [12289] 7587 7732 7877 8022 8167 8312 8457 8602 8747 8892 9037 9182
## [12301] 9327 9472 9617 9762 9907 10052 10197 10342 10487 10632 10777 10922
## [12313] 11067 11212 11357 11502 11647 11792 11937 12082 12227 12372 12517 12662
## [12325] 12807 12952 13097 13242 13387 13532 13677 13822 13967 14112 14257 14402
## [12337] 14547 14692 14837 14982 15127 15272 15417 15562 15707 15852 15997 16142
## [12349] 16287 16432 16577 16722 16867 17012 17157 17302 17447 17592 17737 17882
## [12361] 18027 18172 18317 18462 18607 18752 18897 19042 19187 19332 19477 19622
## [12373] 19767 19912 20057 20202 20347 20492 20637 20782 20927 21072 21217 21362
## [12385] 21507 21652 21797 21942 22087 22232 22377 22522 22667 22812 22957 23102
## [12397] 23247 23392 23537 23682 23827 23972 24117 24262 24407 24552 24697 24842
## [12409] 24987 25132 25277 25422 25567 25712 25857 26002 26147 26292 26437 26582
## [12421] 26727 26872 27017 27162 27307 27452 27597 27742 27887 28032 28177 28322
## [12433] 28467 28612 28757 28902 29047 29192 29337 29482 29627 29772 29917 30062
## [12445] 30207 30352 30497 30642 30787 30932 31077 31222 31367 31512 31657 31802
## [12457] 31947 32092 32237 32382 32527 32672 32817 32962 33107 33252 33397 33542
## [12469] 33687 33832 33977 34122 34267 34412 34557 34702 34847 34992 35137 35282
## [12481] 35427 35572 35717 35862 36007 36152 36297 36442 36587 36732 36877 37022
## [12493] 37167 37312 37457 37602 37747 37892 38037 38182 38327 38472 48 193
## [12505] 338 483 628 773 918 1063 1208 1353 1498 1643 1788 1933
## [12517] 2078 2223 2368 2513 2658 2803 2948 3093 3238 3383 3528 3673
## [12529] 3818 3963 4108 4253 4398 4543 4688 4833 4978 5123 5268 5413
## [12541] 5558 5703 5848 5993 6138 6283 6428 6573 6718 6863 7008 7153
## [12553] 7298 7443 7588 7733 7878 8023 8168 8313 8458 8603 8748 8893
## [12565] 9038 9183 9328 9473 9618 9763 9908 10053 10198 10343 10488 10633
## [12577] 10778 10923 11068 11213 11358 11503 11648 11793 11938 12083 12228 12373
## [12589] 12518 12663 12808 12953 13098 13243 13388 13533 13678 13823 13968 14113
## [12601] 14258 14403 14548 14693 14838 14983 15128 15273 15418 15563 15708 15853
## [12613] 15998 16143 16288 16433 16578 16723 16868 17013 17158 17303 17448 17593
## [12625] 17738 17883 18028 18173 18318 18463 18608 18753 18898 19043 19188 19333
## [12637] 19478 19623 19768 19913 20058 20203 20348 20493 20638 20783 20928 21073
## [12649] 21218 21363 21508 21653 21798 21943 22088 22233 22378 22523 22668 22813
## [12661] 22958 23103 23248 23393 23538 23683 23828 23973 24118 24263 24408 24553
## [12673] 24698 24843 24988 25133 25278 25423 25568 25713 25858 26003 26148 26293
## [12685] 26438 26583 26728 26873 27018 27163 27308 27453 27598 27743 27888 28033
## [12697] 28178 28323 28468 28613 28758 28903 29048 29193 29338 29483 29628 29773
## [12709] 29918 30063 30208 30353 30498 30643 30788 30933 31078 31223 31368 31513
## [12721] 31658 31803 31948 32093 32238 32383 32528 32673 32818 32963 33108 33253
## [12733] 33398 33543 33688 33833 33978 34123 34268 34413 34558 34703 34848 34993
## [12745] 35138 35283 35428 35573 35718 35863 36008 36153 36298 36443 36588 36733
## [12757] 36878 37023 37168 37313 37458 37603 37748 37893 38038 38183 38328 38473
## [12769] 49 194 339 484 629 774 919 1064 1209 1354 1499 1644
## [12781] 1789 1934 2079 2224 2369 2514 2659 2804 2949 3094 3239 3384
## [12793] 3529 3674 3819 3964 4109 4254 4399 4544 4689 4834 4979 5124
## [12805] 5269 5414 5559 5704 5849 5994 6139 6284 6429 6574 6719 6864
## [12817] 7009 7154 7299 7444 7589 7734 7879 8024 8169 8314 8459 8604
## [12829] 8749 8894 9039 9184 9329 9474 9619 9764 9909 10054 10199 10344
## [12841] 10489 10634 10779 10924 11069 11214 11359 11504 11649 11794 11939 12084
## [12853] 12229 12374 12519 12664 12809 12954 13099 13244 13389 13534 13679 13824
## [12865] 13969 14114 14259 14404 14549 14694 14839 14984 15129 15274 15419 15564
## [12877] 15709 15854 15999 16144 16289 16434 16579 16724 16869 17014 17159 17304
## [12889] 17449 17594 17739 17884 18029 18174 18319 18464 18609 18754 18899 19044
## [12901] 19189 19334 19479 19624 19769 19914 20059 20204 20349 20494 20639 20784
## [12913] 20929 21074 21219 21364 21509 21654 21799 21944 22089 22234 22379 22524
## [12925] 22669 22814 22959 23104 23249 23394 23539 23684 23829 23974 24119 24264
## [12937] 24409 24554 24699 24844 24989 25134 25279 25424 25569 25714 25859 26004
## [12949] 26149 26294 26439 26584 26729 26874 27019 27164 27309 27454 27599 27744
## [12961] 27889 28034 28179 28324 28469 28614 28759 28904 29049 29194 29339 29484
## [12973] 29629 29774 29919 30064 30209 30354 30499 30644 30789 30934 31079 31224
## [12985] 31369 31514 31659 31804 31949 32094 32239 32384 32529 32674 32819 32964
## [12997] 33109 33254 33399 33544 33689 33834 33979 34124 34269 34414 34559 34704
## [13009] 34849 34994 35139 35284 35429 35574 35719 35864 36009 36154 36299 36444
## [13021] 36589 36734 36879 37024 37169 37314 37459 37604 37749 37894 38039 38184
## [13033] 38329 38474 50 195 340 485 630 775 920 1065 1210 1355
## [13045] 1500 1645 1790 1935 2080 2225 2370 2515 2660 2805 2950 3095
## [13057] 3240 3385 3530 3675 3820 3965 4110 4255 4400 4545 4690 4835
## [13069] 4980 5125 5270 5415 5560 5705 5850 5995 6140 6285 6430 6575
## [13081] 6720 6865 7010 7155 7300 7445 7590 7735 7880 8025 8170 8315
## [13093] 8460 8605 8750 8895 9040 9185 9330 9475 9620 9765 9910 10055
## [13105] 10200 10345 10490 10635 10780 10925 11070 11215 11360 11505 11650 11795
## [13117] 11940 12085 12230 12375 12520 12665 12810 12955 13100 13245 13390 13535
## [13129] 13680 13825 13970 14115 14260 14405 14550 14695 14840 14985 15130 15275
## [13141] 15420 15565 15710 15855 16000 16145 16290 16435 16580 16725 16870 17015
## [13153] 17160 17305 17450 17595 17740 17885 18030 18175 18320 18465 18610 18755
## [13165] 18900 19045 19190 19335 19480 19625 19770 19915 20060 20205 20350 20495
## [13177] 20640 20785 20930 21075 21220 21365 21510 21655 21800 21945 22090 22235
## [13189] 22380 22525 22670 22815 22960 23105 23250 23395 23540 23685 23830 23975
## [13201] 24120 24265 24410 24555 24700 24845 24990 25135 25280 25425 25570 25715
## [13213] 25860 26005 26150 26295 26440 26585 26730 26875 27020 27165 27310 27455
## [13225] 27600 27745 27890 28035 28180 28325 28470 28615 28760 28905 29050 29195
## [13237] 29340 29485 29630 29775 29920 30065 30210 30355 30500 30645 30790 30935
## [13249] 31080 31225 31370 31515 31660 31805 31950 32095 32240 32385 32530 32675
## [13261] 32820 32965 33110 33255 33400 33545 33690 33835 33980 34125 34270 34415
## [13273] 34560 34705 34850 34995 35140 35285 35430 35575 35720 35865 36010 36155
## [13285] 36300 36445 36590 36735 36880 37025 37170 37315 37460 37605 37750 37895
## [13297] 38040 38185 38330 38475 51 196 341 486 631 776 921 1066
## [13309] 1211 1356 1501 1646 1791 1936 2081 2226 2371 2516 2661 2806
## [13321] 2951 3096 3241 3386 3531 3676 3821 3966 4111 4256 4401 4546
## [13333] 4691 4836 4981 5126 5271 5416 5561 5706 5851 5996 6141 6286
## [13345] 6431 6576 6721 6866 7011 7156 7301 7446 7591 7736 7881 8026
## [13357] 8171 8316 8461 8606 8751 8896 9041 9186 9331 9476 9621 9766
## [13369] 9911 10056 10201 10346 10491 10636 10781 10926 11071 11216 11361 11506
## [13381] 11651 11796 11941 12086 12231 12376 12521 12666 12811 12956 13101 13246
## [13393] 13391 13536 13681 13826 13971 14116 14261 14406 14551 14696 14841 14986
## [13405] 15131 15276 15421 15566 15711 15856 16001 16146 16291 16436 16581 16726
## [13417] 16871 17016 17161 17306 17451 17596 17741 17886 18031 18176 18321 18466
## [13429] 18611 18756 18901 19046 19191 19336 19481 19626 19771 19916 20061 20206
## [13441] 20351 20496 20641 20786 20931 21076 21221 21366 21511 21656 21801 21946
## [13453] 22091 22236 22381 22526 22671 22816 22961 23106 23251 23396 23541 23686
## [13465] 23831 23976 24121 24266 24411 24556 24701 24846 24991 25136 25281 25426
## [13477] 25571 25716 25861 26006 26151 26296 26441 26586 26731 26876 27021 27166
## [13489] 27311 27456 27601 27746 27891 28036 28181 28326 28471 28616 28761 28906
## [13501] 29051 29196 29341 29486 29631 29776 29921 30066 30211 30356 30501 30646
## [13513] 30791 30936 31081 31226 31371 31516 31661 31806 31951 32096 32241 32386
## [13525] 32531 32676 32821 32966 33111 33256 33401 33546 33691 33836 33981 34126
## [13537] 34271 34416 34561 34706 34851 34996 35141 35286 35431 35576 35721 35866
## [13549] 36011 36156 36301 36446 36591 36736 36881 37026 37171 37316 37461 37606
## [13561] 37751 37896 38041 38186 38331 38476 52 197 342 487 632 777
## [13573] 922 1067 1212 1357 1502 1647 1792 1937 2082 2227 2372 2517
## [13585] 2662 2807 2952 3097 3242 3387 3532 3677 3822 3967 4112 4257
## [13597] 4402 4547 4692 4837 4982 5127 5272 5417 5562 5707 5852 5997
## [13609] 6142 6287 6432 6577 6722 6867 7012 7157 7302 7447 7592 7737
## [13621] 7882 8027 8172 8317 8462 8607 8752 8897 9042 9187 9332 9477
## [13633] 9622 9767 9912 10057 10202 10347 10492 10637 10782 10927 11072 11217
## [13645] 11362 11507 11652 11797 11942 12087 12232 12377 12522 12667 12812 12957
## [13657] 13102 13247 13392 13537 13682 13827 13972 14117 14262 14407 14552 14697
## [13669] 14842 14987 15132 15277 15422 15567 15712 15857 16002 16147 16292 16437
## [13681] 16582 16727 16872 17017 17162 17307 17452 17597 17742 17887 18032 18177
## [13693] 18322 18467 18612 18757 18902 19047 19192 19337 19482 19627 19772 19917
## [13705] 20062 20207 20352 20497 20642 20787 20932 21077 21222 21367 21512 21657
## [13717] 21802 21947 22092 22237 22382 22527 22672 22817 22962 23107 23252 23397
## [13729] 23542 23687 23832 23977 24122 24267 24412 24557 24702 24847 24992 25137
## [13741] 25282 25427 25572 25717 25862 26007 26152 26297 26442 26587 26732 26877
## [13753] 27022 27167 27312 27457 27602 27747 27892 28037 28182 28327 28472 28617
## [13765] 28762 28907 29052 29197 29342 29487 29632 29777 29922 30067 30212 30357
## [13777] 30502 30647 30792 30937 31082 31227 31372 31517 31662 31807 31952 32097
## [13789] 32242 32387 32532 32677 32822 32967 33112 33257 33402 33547 33692 33837
## [13801] 33982 34127 34272 34417 34562 34707 34852 34997 35142 35287 35432 35577
## [13813] 35722 35867 36012 36157 36302 36447 36592 36737 36882 37027 37172 37317
## [13825] 37462 37607 37752 37897 38042 38187 38332 38477 53 198 343 488
## [13837] 633 778 923 1068 1213 1358 1503 1648 1793 1938 2083 2228
## [13849] 2373 2518 2663 2808 2953 3098 3243 3388 3533 3678 3823 3968
## [13861] 4113 4258 4403 4548 4693 4838 4983 5128 5273 5418 5563 5708
## [13873] 5853 5998 6143 6288 6433 6578 6723 6868 7013 7158 7303 7448
## [13885] 7593 7738 7883 8028 8173 8318 8463 8608 8753 8898 9043 9188
## [13897] 9333 9478 9623 9768 9913 10058 10203 10348 10493 10638 10783 10928
## [13909] 11073 11218 11363 11508 11653 11798 11943 12088 12233 12378 12523 12668
## [13921] 12813 12958 13103 13248 13393 13538 13683 13828 13973 14118 14263 14408
## [13933] 14553 14698 14843 14988 15133 15278 15423 15568 15713 15858 16003 16148
## [13945] 16293 16438 16583 16728 16873 17018 17163 17308 17453 17598 17743 17888
## [13957] 18033 18178 18323 18468 18613 18758 18903 19048 19193 19338 19483 19628
## [13969] 19773 19918 20063 20208 20353 20498 20643 20788 20933 21078 21223 21368
## [13981] 21513 21658 21803 21948 22093 22238 22383 22528 22673 22818 22963 23108
## [13993] 23253 23398 23543 23688 23833 23978 24123 24268 24413 24558 24703 24848
## [14005] 24993 25138 25283 25428 25573 25718 25863 26008 26153 26298 26443 26588
## [14017] 26733 26878 27023 27168 27313 27458 27603 27748 27893 28038 28183 28328
## [14029] 28473 28618 28763 28908 29053 29198 29343 29488 29633 29778 29923 30068
## [14041] 30213 30358 30503 30648 30793 30938 31083 31228 31373 31518 31663 31808
## [14053] 31953 32098 32243 32388 32533 32678 32823 32968 33113 33258 33403 33548
## [14065] 33693 33838 33983 34128 34273 34418 34563 34708 34853 34998 35143 35288
## [14077] 35433 35578 35723 35868 36013 36158 36303 36448 36593 36738 36883 37028
## [14089] 37173 37318 37463 37608 37753 37898 38043 38188 38333 38478 54 199
## [14101] 344 489 634 779 924 1069 1214 1359 1504 1649 1794 1939
## [14113] 2084 2229 2374 2519 2664 2809 2954 3099 3244 3389 3534 3679
## [14125] 3824 3969 4114 4259 4404 4549 4694 4839 4984 5129 5274 5419
## [14137] 5564 5709 5854 5999 6144 6289 6434 6579 6724 6869 7014 7159
## [14149] 7304 7449 7594 7739 7884 8029 8174 8319 8464 8609 8754 8899
## [14161] 9044 9189 9334 9479 9624 9769 9914 10059 10204 10349 10494 10639
## [14173] 10784 10929 11074 11219 11364 11509 11654 11799 11944 12089 12234 12379
## [14185] 12524 12669 12814 12959 13104 13249 13394 13539 13684 13829 13974 14119
## [14197] 14264 14409 14554 14699 14844 14989 15134 15279 15424 15569 15714 15859
## [14209] 16004 16149 16294 16439 16584 16729 16874 17019 17164 17309 17454 17599
## [14221] 17744 17889 18034 18179 18324 18469 18614 18759 18904 19049 19194 19339
## [14233] 19484 19629 19774 19919 20064 20209 20354 20499 20644 20789 20934 21079
## [14245] 21224 21369 21514 21659 21804 21949 22094 22239 22384 22529 22674 22819
## [14257] 22964 23109 23254 23399 23544 23689 23834 23979 24124 24269 24414 24559
## [14269] 24704 24849 24994 25139 25284 25429 25574 25719 25864 26009 26154 26299
## [14281] 26444 26589 26734 26879 27024 27169 27314 27459 27604 27749 27894 28039
## [14293] 28184 28329 28474 28619 28764 28909 29054 29199 29344 29489 29634 29779
## [14305] 29924 30069 30214 30359 30504 30649 30794 30939 31084 31229 31374 31519
## [14317] 31664 31809 31954 32099 32244 32389 32534 32679 32824 32969 33114 33259
## [14329] 33404 33549 33694 33839 33984 34129 34274 34419 34564 34709 34854 34999
## [14341] 35144 35289 35434 35579 35724 35869 36014 36159 36304 36449 36594 36739
## [14353] 36884 37029 37174 37319 37464 37609 37754 37899 38044 38189 38334 38479
## [14365] 55 200 345 490 635 780 925 1070 1215 1360 1505 1650
## [14377] 1795 1940 2085 2230 2375 2520 2665 2810 2955 3100 3245 3390
## [14389] 3535 3680 3825 3970 4115 4260 4405 4550 4695 4840 4985 5130
## [14401] 5275 5420 5565 5710 5855 6000 6145 6290 6435 6580 6725 6870
## [14413] 7015 7160 7305 7450 7595 7740 7885 8030 8175 8320 8465 8610
## [14425] 8755 8900 9045 9190 9335 9480 9625 9770 9915 10060 10205 10350
## [14437] 10495 10640 10785 10930 11075 11220 11365 11510 11655 11800 11945 12090
## [14449] 12235 12380 12525 12670 12815 12960 13105 13250 13395 13540 13685 13830
## [14461] 13975 14120 14265 14410 14555 14700 14845 14990 15135 15280 15425 15570
## [14473] 15715 15860 16005 16150 16295 16440 16585 16730 16875 17020 17165 17310
## [14485] 17455 17600 17745 17890 18035 18180 18325 18470 18615 18760 18905 19050
## [14497] 19195 19340 19485 19630 19775 19920 20065 20210 20355 20500 20645 20790
## [14509] 20935 21080 21225 21370 21515 21660 21805 21950 22095 22240 22385 22530
## [14521] 22675 22820 22965 23110 23255 23400 23545 23690 23835 23980 24125 24270
## [14533] 24415 24560 24705 24850 24995 25140 25285 25430 25575 25720 25865 26010
## [14545] 26155 26300 26445 26590 26735 26880 27025 27170 27315 27460 27605 27750
## [14557] 27895 28040 28185 28330 28475 28620 28765 28910 29055 29200 29345 29490
## [14569] 29635 29780 29925 30070 30215 30360 30505 30650 30795 30940 31085 31230
## [14581] 31375 31520 31665 31810 31955 32100 32245 32390 32535 32680 32825 32970
## [14593] 33115 33260 33405 33550 33695 33840 33985 34130 34275 34420 34565 34710
## [14605] 34855 35000 35145 35290 35435 35580 35725 35870 36015 36160 36305 36450
## [14617] 36595 36740 36885 37030 37175 37320 37465 37610 37755 37900 38045 38190
## [14629] 38335 38480 56 201 346 491 636 781 926 1071 1216 1361
## [14641] 1506 1651 1796 1941 2086 2231 2376 2521 2666 2811 2956 3101
## [14653] 3246 3391 3536 3681 3826 3971 4116 4261 4406 4551 4696 4841
## [14665] 4986 5131 5276 5421 5566 5711 5856 6001 6146 6291 6436 6581
## [14677] 6726 6871 7016 7161 7306 7451 7596 7741 7886 8031 8176 8321
## [14689] 8466 8611 8756 8901 9046 9191 9336 9481 9626 9771 9916 10061
## [14701] 10206 10351 10496 10641 10786 10931 11076 11221 11366 11511 11656 11801
## [14713] 11946 12091 12236 12381 12526 12671 12816 12961 13106 13251 13396 13541
## [14725] 13686 13831 13976 14121 14266 14411 14556 14701 14846 14991 15136 15281
## [14737] 15426 15571 15716 15861 16006 16151 16296 16441 16586 16731 16876 17021
## [14749] 17166 17311 17456 17601 17746 17891 18036 18181 18326 18471 18616 18761
## [14761] 18906 19051 19196 19341 19486 19631 19776 19921 20066 20211 20356 20501
## [14773] 20646 20791 20936 21081 21226 21371 21516 21661 21806 21951 22096 22241
## [14785] 22386 22531 22676 22821 22966 23111 23256 23401 23546 23691 23836 23981
## [14797] 24126 24271 24416 24561 24706 24851 24996 25141 25286 25431 25576 25721
## [14809] 25866 26011 26156 26301 26446 26591 26736 26881 27026 27171 27316 27461
## [14821] 27606 27751 27896 28041 28186 28331 28476 28621 28766 28911 29056 29201
## [14833] 29346 29491 29636 29781 29926 30071 30216 30361 30506 30651 30796 30941
## [14845] 31086 31231 31376 31521 31666 31811 31956 32101 32246 32391 32536 32681
## [14857] 32826 32971 33116 33261 33406 33551 33696 33841 33986 34131 34276 34421
## [14869] 34566 34711 34856 35001 35146 35291 35436 35581 35726 35871 36016 36161
## [14881] 36306 36451 36596 36741 36886 37031 37176 37321 37466 37611 37756 37901
## [14893] 38046 38191 38336 38481 57 202 347 492 637 782 927 1072
## [14905] 1217 1362 1507 1652 1797 1942 2087 2232 2377 2522 2667 2812
## [14917] 2957 3102 3247 3392 3537 3682 3827 3972 4117 4262 4407 4552
## [14929] 4697 4842 4987 5132 5277 5422 5567 5712 5857 6002 6147 6292
## [14941] 6437 6582 6727 6872 7017 7162 7307 7452 7597 7742 7887 8032
## [14953] 8177 8322 8467 8612 8757 8902 9047 9192 9337 9482 9627 9772
## [14965] 9917 10062 10207 10352 10497 10642 10787 10932 11077 11222 11367 11512
## [14977] 11657 11802 11947 12092 12237 12382 12527 12672 12817 12962 13107 13252
## [14989] 13397 13542 13687 13832 13977 14122 14267 14412 14557 14702 14847 14992
## [15001] 15137 15282 15427 15572 15717 15862 16007 16152 16297 16442 16587 16732
## [15013] 16877 17022 17167 17312 17457 17602 17747 17892 18037 18182 18327 18472
## [15025] 18617 18762 18907 19052 19197 19342 19487 19632 19777 19922 20067 20212
## [15037] 20357 20502 20647 20792 20937 21082 21227 21372 21517 21662 21807 21952
## [15049] 22097 22242 22387 22532 22677 22822 22967 23112 23257 23402 23547 23692
## [15061] 23837 23982 24127 24272 24417 24562 24707 24852 24997 25142 25287 25432
## [15073] 25577 25722 25867 26012 26157 26302 26447 26592 26737 26882 27027 27172
## [15085] 27317 27462 27607 27752 27897 28042 28187 28332 28477 28622 28767 28912
## [15097] 29057 29202 29347 29492 29637 29782 29927 30072 30217 30362 30507 30652
## [15109] 30797 30942 31087 31232 31377 31522 31667 31812 31957 32102 32247 32392
## [15121] 32537 32682 32827 32972 33117 33262 33407 33552 33697 33842 33987 34132
## [15133] 34277 34422 34567 34712 34857 35002 35147 35292 35437 35582 35727 35872
## [15145] 36017 36162 36307 36452 36597 36742 36887 37032 37177 37322 37467 37612
## [15157] 37757 37902 38047 38192 38337 38482 58 203 348 493 638 783
## [15169] 928 1073 1218 1363 1508 1653 1798 1943 2088 2233 2378 2523
## [15181] 2668 2813 2958 3103 3248 3393 3538 3683 3828 3973 4118 4263
## [15193] 4408 4553 4698 4843 4988 5133 5278 5423 5568 5713 5858 6003
## [15205] 6148 6293 6438 6583 6728 6873 7018 7163 7308 7453 7598 7743
## [15217] 7888 8033 8178 8323 8468 8613 8758 8903 9048 9193 9338 9483
## [15229] 9628 9773 9918 10063 10208 10353 10498 10643 10788 10933 11078 11223
## [15241] 11368 11513 11658 11803 11948 12093 12238 12383 12528 12673 12818 12963
## [15253] 13108 13253 13398 13543 13688 13833 13978 14123 14268 14413 14558 14703
## [15265] 14848 14993 15138 15283 15428 15573 15718 15863 16008 16153 16298 16443
## [15277] 16588 16733 16878 17023 17168 17313 17458 17603 17748 17893 18038 18183
## [15289] 18328 18473 18618 18763 18908 19053 19198 19343 19488 19633 19778 19923
## [15301] 20068 20213 20358 20503 20648 20793 20938 21083 21228 21373 21518 21663
## [15313] 21808 21953 22098 22243 22388 22533 22678 22823 22968 23113 23258 23403
## [15325] 23548 23693 23838 23983 24128 24273 24418 24563 24708 24853 24998 25143
## [15337] 25288 25433 25578 25723 25868 26013 26158 26303 26448 26593 26738 26883
## [15349] 27028 27173 27318 27463 27608 27753 27898 28043 28188 28333 28478 28623
## [15361] 28768 28913 29058 29203 29348 29493 29638 29783 29928 30073 30218 30363
## [15373] 30508 30653 30798 30943 31088 31233 31378 31523 31668 31813 31958 32103
## [15385] 32248 32393 32538 32683 32828 32973 33118 33263 33408 33553 33698 33843
## [15397] 33988 34133 34278 34423 34568 34713 34858 35003 35148 35293 35438 35583
## [15409] 35728 35873 36018 36163 36308 36453 36598 36743 36888 37033 37178 37323
## [15421] 37468 37613 37758 37903 38048 38193 38338 38483 59 204 349 494
## [15433] 639 784 929 1074 1219 1364 1509 1654 1799 1944 2089 2234
## [15445] 2379 2524 2669 2814 2959 3104 3249 3394 3539 3684 3829 3974
## [15457] 4119 4264 4409 4554 4699 4844 4989 5134 5279 5424 5569 5714
## [15469] 5859 6004 6149 6294 6439 6584 6729 6874 7019 7164 7309 7454
## [15481] 7599 7744 7889 8034 8179 8324 8469 8614 8759 8904 9049 9194
## [15493] 9339 9484 9629 9774 9919 10064 10209 10354 10499 10644 10789 10934
## [15505] 11079 11224 11369 11514 11659 11804 11949 12094 12239 12384 12529 12674
## [15517] 12819 12964 13109 13254 13399 13544 13689 13834 13979 14124 14269 14414
## [15529] 14559 14704 14849 14994 15139 15284 15429 15574 15719 15864 16009 16154
## [15541] 16299 16444 16589 16734 16879 17024 17169 17314 17459 17604 17749 17894
## [15553] 18039 18184 18329 18474 18619 18764 18909 19054 19199 19344 19489 19634
## [15565] 19779 19924 20069 20214 20359 20504 20649 20794 20939 21084 21229 21374
## [15577] 21519 21664 21809 21954 22099 22244 22389 22534 22679 22824 22969 23114
## [15589] 23259 23404 23549 23694 23839 23984 24129 24274 24419 24564 24709 24854
## [15601] 24999 25144 25289 25434 25579 25724 25869 26014 26159 26304 26449 26594
## [15613] 26739 26884 27029 27174 27319 27464 27609 27754 27899 28044 28189 28334
## [15625] 28479 28624 28769 28914 29059 29204 29349 29494 29639 29784 29929 30074
## [15637] 30219 30364 30509 30654 30799 30944 31089 31234 31379 31524 31669 31814
## [15649] 31959 32104 32249 32394 32539 32684 32829 32974 33119 33264 33409 33554
## [15661] 33699 33844 33989 34134 34279 34424 34569 34714 34859 35004 35149 35294
## [15673] 35439 35584 35729 35874 36019 36164 36309 36454 36599 36744 36889 37034
## [15685] 37179 37324 37469 37614 37759 37904 38049 38194 38339 38484 60 205
## [15697] 350 495 640 785 930 1075 1220 1365 1510 1655 1800 1945
## [15709] 2090 2235 2380 2525 2670 2815 2960 3105 3250 3395 3540 3685
## [15721] 3830 3975 4120 4265 4410 4555 4700 4845 4990 5135 5280 5425
## [15733] 5570 5715 5860 6005 6150 6295 6440 6585 6730 6875 7020 7165
## [15745] 7310 7455 7600 7745 7890 8035 8180 8325 8470 8615 8760 8905
## [15757] 9050 9195 9340 9485 9630 9775 9920 10065 10210 10355 10500 10645
## [15769] 10790 10935 11080 11225 11370 11515 11660 11805 11950 12095 12240 12385
## [15781] 12530 12675 12820 12965 13110 13255 13400 13545 13690 13835 13980 14125
## [15793] 14270 14415 14560 14705 14850 14995 15140 15285 15430 15575 15720 15865
## [15805] 16010 16155 16300 16445 16590 16735 16880 17025 17170 17315 17460 17605
## [15817] 17750 17895 18040 18185 18330 18475 18620 18765 18910 19055 19200 19345
## [15829] 19490 19635 19780 19925 20070 20215 20360 20505 20650 20795 20940 21085
## [15841] 21230 21375 21520 21665 21810 21955 22100 22245 22390 22535 22680 22825
## [15853] 22970 23115 23260 23405 23550 23695 23840 23985 24130 24275 24420 24565
## [15865] 24710 24855 25000 25145 25290 25435 25580 25725 25870 26015 26160 26305
## [15877] 26450 26595 26740 26885 27030 27175 27320 27465 27610 27755 27900 28045
## [15889] 28190 28335 28480 28625 28770 28915 29060 29205 29350 29495 29640 29785
## [15901] 29930 30075 30220 30365 30510 30655 30800 30945 31090 31235 31380 31525
## [15913] 31670 31815 31960 32105 32250 32395 32540 32685 32830 32975 33120 33265
## [15925] 33410 33555 33700 33845 33990 34135 34280 34425 34570 34715 34860 35005
## [15937] 35150 35295 35440 35585 35730 35875 36020 36165 36310 36455 36600 36745
## [15949] 36890 37035 37180 37325 37470 37615 37760 37905 38050 38195 38340 38485
## [15961] 61 206 351 496 641 786 931 1076 1221 1366 1511 1656
## [15973] 1801 1946 2091 2236 2381 2526 2671 2816 2961 3106 3251 3396
## [15985] 3541 3686 3831 3976 4121 4266 4411 4556 4701 4846 4991 5136
## [15997] 5281 5426 5571 5716 5861 6006 6151 6296 6441 6586 6731 6876
## [16009] 7021 7166 7311 7456 7601 7746 7891 8036 8181 8326 8471 8616
## [16021] 8761 8906 9051 9196 9341 9486 9631 9776 9921 10066 10211 10356
## [16033] 10501 10646 10791 10936 11081 11226 11371 11516 11661 11806 11951 12096
## [16045] 12241 12386 12531 12676 12821 12966 13111 13256 13401 13546 13691 13836
## [16057] 13981 14126 14271 14416 14561 14706 14851 14996 15141 15286 15431 15576
## [16069] 15721 15866 16011 16156 16301 16446 16591 16736 16881 17026 17171 17316
## [16081] 17461 17606 17751 17896 18041 18186 18331 18476 18621 18766 18911 19056
## [16093] 19201 19346 19491 19636 19781 19926 20071 20216 20361 20506 20651 20796
## [16105] 20941 21086 21231 21376 21521 21666 21811 21956 22101 22246 22391 22536
## [16117] 22681 22826 22971 23116 23261 23406 23551 23696 23841 23986 24131 24276
## [16129] 24421 24566 24711 24856 25001 25146 25291 25436 25581 25726 25871 26016
## [16141] 26161 26306 26451 26596 26741 26886 27031 27176 27321 27466 27611 27756
## [16153] 27901 28046 28191 28336 28481 28626 28771 28916 29061 29206 29351 29496
## [16165] 29641 29786 29931 30076 30221 30366 30511 30656 30801 30946 31091 31236
## [16177] 31381 31526 31671 31816 31961 32106 32251 32396 32541 32686 32831 32976
## [16189] 33121 33266 33411 33556 33701 33846 33991 34136 34281 34426 34571 34716
## [16201] 34861 35006 35151 35296 35441 35586 35731 35876 36021 36166 36311 36456
## [16213] 36601 36746 36891 37036 37181 37326 37471 37616 37761 37906 38051 38196
## [16225] 38341 38486 62 207 352 497 642 787 932 1077 1222 1367
## [16237] 1512 1657 1802 1947 2092 2237 2382 2527 2672 2817 2962 3107
## [16249] 3252 3397 3542 3687 3832 3977 4122 4267 4412 4557 4702 4847
## [16261] 4992 5137 5282 5427 5572 5717 5862 6007 6152 6297 6442 6587
## [16273] 6732 6877 7022 7167 7312 7457 7602 7747 7892 8037 8182 8327
## [16285] 8472 8617 8762 8907 9052 9197 9342 9487 9632 9777 9922 10067
## [16297] 10212 10357 10502 10647 10792 10937 11082 11227 11372 11517 11662 11807
## [16309] 11952 12097 12242 12387 12532 12677 12822 12967 13112 13257 13402 13547
## [16321] 13692 13837 13982 14127 14272 14417 14562 14707 14852 14997 15142 15287
## [16333] 15432 15577 15722 15867 16012 16157 16302 16447 16592 16737 16882 17027
## [16345] 17172 17317 17462 17607 17752 17897 18042 18187 18332 18477 18622 18767
## [16357] 18912 19057 19202 19347 19492 19637 19782 19927 20072 20217 20362 20507
## [16369] 20652 20797 20942 21087 21232 21377 21522 21667 21812 21957 22102 22247
## [16381] 22392 22537 22682 22827 22972 23117 23262 23407 23552 23697 23842 23987
## [16393] 24132 24277 24422 24567 24712 24857 25002 25147 25292 25437 25582 25727
## [16405] 25872 26017 26162 26307 26452 26597 26742 26887 27032 27177 27322 27467
## [16417] 27612 27757 27902 28047 28192 28337 28482 28627 28772 28917 29062 29207
## [16429] 29352 29497 29642 29787 29932 30077 30222 30367 30512 30657 30802 30947
## [16441] 31092 31237 31382 31527 31672 31817 31962 32107 32252 32397 32542 32687
## [16453] 32832 32977 33122 33267 33412 33557 33702 33847 33992 34137 34282 34427
## [16465] 34572 34717 34862 35007 35152 35297 35442 35587 35732 35877 36022 36167
## [16477] 36312 36457 36602 36747 36892 37037 37182 37327 37472 37617 37762 37907
## [16489] 38052 38197 38342 38487 63 208 353 498 643 788 933 1078
## [16501] 1223 1368 1513 1658 1803 1948 2093 2238 2383 2528 2673 2818
## [16513] 2963 3108 3253 3398 3543 3688 3833 3978 4123 4268 4413 4558
## [16525] 4703 4848 4993 5138 5283 5428 5573 5718 5863 6008 6153 6298
## [16537] 6443 6588 6733 6878 7023 7168 7313 7458 7603 7748 7893 8038
## [16549] 8183 8328 8473 8618 8763 8908 9053 9198 9343 9488 9633 9778
## [16561] 9923 10068 10213 10358 10503 10648 10793 10938 11083 11228 11373 11518
## [16573] 11663 11808 11953 12098 12243 12388 12533 12678 12823 12968 13113 13258
## [16585] 13403 13548 13693 13838 13983 14128 14273 14418 14563 14708 14853 14998
## [16597] 15143 15288 15433 15578 15723 15868 16013 16158 16303 16448 16593 16738
## [16609] 16883 17028 17173 17318 17463 17608 17753 17898 18043 18188 18333 18478
## [16621] 18623 18768 18913 19058 19203 19348 19493 19638 19783 19928 20073 20218
## [16633] 20363 20508 20653 20798 20943 21088 21233 21378 21523 21668 21813 21958
## [16645] 22103 22248 22393 22538 22683 22828 22973 23118 23263 23408 23553 23698
## [16657] 23843 23988 24133 24278 24423 24568 24713 24858 25003 25148 25293 25438
## [16669] 25583 25728 25873 26018 26163 26308 26453 26598 26743 26888 27033 27178
## [16681] 27323 27468 27613 27758 27903 28048 28193 28338 28483 28628 28773 28918
## [16693] 29063 29208 29353 29498 29643 29788 29933 30078 30223 30368 30513 30658
## [16705] 30803 30948 31093 31238 31383 31528 31673 31818 31963 32108 32253 32398
## [16717] 32543 32688 32833 32978 33123 33268 33413 33558 33703 33848 33993 34138
## [16729] 34283 34428 34573 34718 34863 35008 35153 35298 35443 35588 35733 35878
## [16741] 36023 36168 36313 36458 36603 36748 36893 37038 37183 37328 37473 37618
## [16753] 37763 37908 38053 38198 38343 38488 64 209 354 499 644 789
## [16765] 934 1079 1224 1369 1514 1659 1804 1949 2094 2239 2384 2529
## [16777] 2674 2819 2964 3109 3254 3399 3544 3689 3834 3979 4124 4269
## [16789] 4414 4559 4704 4849 4994 5139 5284 5429 5574 5719 5864 6009
## [16801] 6154 6299 6444 6589 6734 6879 7024 7169 7314 7459 7604 7749
## [16813] 7894 8039 8184 8329 8474 8619 8764 8909 9054 9199 9344 9489
## [16825] 9634 9779 9924 10069 10214 10359 10504 10649 10794 10939 11084 11229
## [16837] 11374 11519 11664 11809 11954 12099 12244 12389 12534 12679 12824 12969
## [16849] 13114 13259 13404 13549 13694 13839 13984 14129 14274 14419 14564 14709
## [16861] 14854 14999 15144 15289 15434 15579 15724 15869 16014 16159 16304 16449
## [16873] 16594 16739 16884 17029 17174 17319 17464 17609 17754 17899 18044 18189
## [16885] 18334 18479 18624 18769 18914 19059 19204 19349 19494 19639 19784 19929
## [16897] 20074 20219 20364 20509 20654 20799 20944 21089 21234 21379 21524 21669
## [16909] 21814 21959 22104 22249 22394 22539 22684 22829 22974 23119 23264 23409
## [16921] 23554 23699 23844 23989 24134 24279 24424 24569 24714 24859 25004 25149
## [16933] 25294 25439 25584 25729 25874 26019 26164 26309 26454 26599 26744 26889
## [16945] 27034 27179 27324 27469 27614 27759 27904 28049 28194 28339 28484 28629
## [16957] 28774 28919 29064 29209 29354 29499 29644 29789 29934 30079 30224 30369
## [16969] 30514 30659 30804 30949 31094 31239 31384 31529 31674 31819 31964 32109
## [16981] 32254 32399 32544 32689 32834 32979 33124 33269 33414 33559 33704 33849
## [16993] 33994 34139 34284 34429 34574 34719 34864 35009 35154 35299 35444 35589
## [17005] 35734 35879 36024 36169 36314 36459 36604 36749 36894 37039 37184 37329
## [17017] 37474 37619 37764 37909 38054 38199 38344 38489 65 210 355 500
## [17029] 645 790 935 1080 1225 1370 1515 1660 1805 1950 2095 2240
## [17041] 2385 2530 2675 2820 2965 3110 3255 3400 3545 3690 3835 3980
## [17053] 4125 4270 4415 4560 4705 4850 4995 5140 5285 5430 5575 5720
## [17065] 5865 6010 6155 6300 6445 6590 6735 6880 7025 7170 7315 7460
## [17077] 7605 7750 7895 8040 8185 8330 8475 8620 8765 8910 9055 9200
## [17089] 9345 9490 9635 9780 9925 10070 10215 10360 10505 10650 10795 10940
## [17101] 11085 11230 11375 11520 11665 11810 11955 12100 12245 12390 12535 12680
## [17113] 12825 12970 13115 13260 13405 13550 13695 13840 13985 14130 14275 14420
## [17125] 14565 14710 14855 15000 15145 15290 15435 15580 15725 15870 16015 16160
## [17137] 16305 16450 16595 16740 16885 17030 17175 17320 17465 17610 17755 17900
## [17149] 18045 18190 18335 18480 18625 18770 18915 19060 19205 19350 19495 19640
## [17161] 19785 19930 20075 20220 20365 20510 20655 20800 20945 21090 21235 21380
## [17173] 21525 21670 21815 21960 22105 22250 22395 22540 22685 22830 22975 23120
## [17185] 23265 23410 23555 23700 23845 23990 24135 24280 24425 24570 24715 24860
## [17197] 25005 25150 25295 25440 25585 25730 25875 26020 26165 26310 26455 26600
## [17209] 26745 26890 27035 27180 27325 27470 27615 27760 27905 28050 28195 28340
## [17221] 28485 28630 28775 28920 29065 29210 29355 29500 29645 29790 29935 30080
## [17233] 30225 30370 30515 30660 30805 30950 31095 31240 31385 31530 31675 31820
## [17245] 31965 32110 32255 32400 32545 32690 32835 32980 33125 33270 33415 33560
## [17257] 33705 33850 33995 34140 34285 34430 34575 34720 34865 35010 35155 35300
## [17269] 35445 35590 35735 35880 36025 36170 36315 36460 36605 36750 36895 37040
## [17281] 37185 37330 37475 37620 37765 37910 38055 38200 38345 38490 66 211
## [17293] 356 501 646 791 936 1081 1226 1371 1516 1661 1806 1951
## [17305] 2096 2241 2386 2531 2676 2821 2966 3111 3256 3401 3546 3691
## [17317] 3836 3981 4126 4271 4416 4561 4706 4851 4996 5141 5286 5431
## [17329] 5576 5721 5866 6011 6156 6301 6446 6591 6736 6881 7026 7171
## [17341] 7316 7461 7606 7751 7896 8041 8186 8331 8476 8621 8766 8911
## [17353] 9056 9201 9346 9491 9636 9781 9926 10071 10216 10361 10506 10651
## [17365] 10796 10941 11086 11231 11376 11521 11666 11811 11956 12101 12246 12391
## [17377] 12536 12681 12826 12971 13116 13261 13406 13551 13696 13841 13986 14131
## [17389] 14276 14421 14566 14711 14856 15001 15146 15291 15436 15581 15726 15871
## [17401] 16016 16161 16306 16451 16596 16741 16886 17031 17176 17321 17466 17611
## [17413] 17756 17901 18046 18191 18336 18481 18626 18771 18916 19061 19206 19351
## [17425] 19496 19641 19786 19931 20076 20221 20366 20511 20656 20801 20946 21091
## [17437] 21236 21381 21526 21671 21816 21961 22106 22251 22396 22541 22686 22831
## [17449] 22976 23121 23266 23411 23556 23701 23846 23991 24136 24281 24426 24571
## [17461] 24716 24861 25006 25151 25296 25441 25586 25731 25876 26021 26166 26311
## [17473] 26456 26601 26746 26891 27036 27181 27326 27471 27616 27761 27906 28051
## [17485] 28196 28341 28486 28631 28776 28921 29066 29211 29356 29501 29646 29791
## [17497] 29936 30081 30226 30371 30516 30661 30806 30951 31096 31241 31386 31531
## [17509] 31676 31821 31966 32111 32256 32401 32546 32691 32836 32981 33126 33271
## [17521] 33416 33561 33706 33851 33996 34141 34286 34431 34576 34721 34866 35011
## [17533] 35156 35301 35446 35591 35736 35881 36026 36171 36316 36461 36606 36751
## [17545] 36896 37041 37186 37331 37476 37621 37766 37911 38056 38201 38346 38491
## [17557] 67 212 357 502 647 792 937 1082 1227 1372 1517 1662
## [17569] 1807 1952 2097 2242 2387 2532 2677 2822 2967 3112 3257 3402
## [17581] 3547 3692 3837 3982 4127 4272 4417 4562 4707 4852 4997 5142
## [17593] 5287 5432 5577 5722 5867 6012 6157 6302 6447 6592 6737 6882
## [17605] 7027 7172 7317 7462 7607 7752 7897 8042 8187 8332 8477 8622
## [17617] 8767 8912 9057 9202 9347 9492 9637 9782 9927 10072 10217 10362
## [17629] 10507 10652 10797 10942 11087 11232 11377 11522 11667 11812 11957 12102
## [17641] 12247 12392 12537 12682 12827 12972 13117 13262 13407 13552 13697 13842
## [17653] 13987 14132 14277 14422 14567 14712 14857 15002 15147 15292 15437 15582
## [17665] 15727 15872 16017 16162 16307 16452 16597 16742 16887 17032 17177 17322
## [17677] 17467 17612 17757 17902 18047 18192 18337 18482 18627 18772 18917 19062
## [17689] 19207 19352 19497 19642 19787 19932 20077 20222 20367 20512 20657 20802
## [17701] 20947 21092 21237 21382 21527 21672 21817 21962 22107 22252 22397 22542
## [17713] 22687 22832 22977 23122 23267 23412 23557 23702 23847 23992 24137 24282
## [17725] 24427 24572 24717 24862 25007 25152 25297 25442 25587 25732 25877 26022
## [17737] 26167 26312 26457 26602 26747 26892 27037 27182 27327 27472 27617 27762
## [17749] 27907 28052 28197 28342 28487 28632 28777 28922 29067 29212 29357 29502
## [17761] 29647 29792 29937 30082 30227 30372 30517 30662 30807 30952 31097 31242
## [17773] 31387 31532 31677 31822 31967 32112 32257 32402 32547 32692 32837 32982
## [17785] 33127 33272 33417 33562 33707 33852 33997 34142 34287 34432 34577 34722
## [17797] 34867 35012 35157 35302 35447 35592 35737 35882 36027 36172 36317 36462
## [17809] 36607 36752 36897 37042 37187 37332 37477 37622 37767 37912 38057 38202
## [17821] 38347 38492 68 213 358 503 648 793 938 1083 1228 1373
## [17833] 1518 1663 1808 1953 2098 2243 2388 2533 2678 2823 2968 3113
## [17845] 3258 3403 3548 3693 3838 3983 4128 4273 4418 4563 4708 4853
## [17857] 4998 5143 5288 5433 5578 5723 5868 6013 6158 6303 6448 6593
## [17869] 6738 6883 7028 7173 7318 7463 7608 7753 7898 8043 8188 8333
## [17881] 8478 8623 8768 8913 9058 9203 9348 9493 9638 9783 9928 10073
## [17893] 10218 10363 10508 10653 10798 10943 11088 11233 11378 11523 11668 11813
## [17905] 11958 12103 12248 12393 12538 12683 12828 12973 13118 13263 13408 13553
## [17917] 13698 13843 13988 14133 14278 14423 14568 14713 14858 15003 15148 15293
## [17929] 15438 15583 15728 15873 16018 16163 16308 16453 16598 16743 16888 17033
## [17941] 17178 17323 17468 17613 17758 17903 18048 18193 18338 18483 18628 18773
## [17953] 18918 19063 19208 19353 19498 19643 19788 19933 20078 20223 20368 20513
## [17965] 20658 20803 20948 21093 21238 21383 21528 21673 21818 21963 22108 22253
## [17977] 22398 22543 22688 22833 22978 23123 23268 23413 23558 23703 23848 23993
## [17989] 24138 24283 24428 24573 24718 24863 25008 25153 25298 25443 25588 25733
## [18001] 25878 26023 26168 26313 26458 26603 26748 26893 27038 27183 27328 27473
## [18013] 27618 27763 27908 28053 28198 28343 28488 28633 28778 28923 29068 29213
## [18025] 29358 29503 29648 29793 29938 30083 30228 30373 30518 30663 30808 30953
## [18037] 31098 31243 31388 31533 31678 31823 31968 32113 32258 32403 32548 32693
## [18049] 32838 32983 33128 33273 33418 33563 33708 33853 33998 34143 34288 34433
## [18061] 34578 34723 34868 35013 35158 35303 35448 35593 35738 35883 36028 36173
## [18073] 36318 36463 36608 36753 36898 37043 37188 37333 37478 37623 37768 37913
## [18085] 38058 38203 38348 38493 69 214 359 504 649 794 939 1084
## [18097] 1229 1374 1519 1664 1809 1954 2099 2244 2389 2534 2679 2824
## [18109] 2969 3114 3259 3404 3549 3694 3839 3984 4129 4274 4419 4564
## [18121] 4709 4854 4999 5144 5289 5434 5579 5724 5869 6014 6159 6304
## [18133] 6449 6594 6739 6884 7029 7174 7319 7464 7609 7754 7899 8044
## [18145] 8189 8334 8479 8624 8769 8914 9059 9204 9349 9494 9639 9784
## [18157] 9929 10074 10219 10364 10509 10654 10799 10944 11089 11234 11379 11524
## [18169] 11669 11814 11959 12104 12249 12394 12539 12684 12829 12974 13119 13264
## [18181] 13409 13554 13699 13844 13989 14134 14279 14424 14569 14714 14859 15004
## [18193] 15149 15294 15439 15584 15729 15874 16019 16164 16309 16454 16599 16744
## [18205] 16889 17034 17179 17324 17469 17614 17759 17904 18049 18194 18339 18484
## [18217] 18629 18774 18919 19064 19209 19354 19499 19644 19789 19934 20079 20224
## [18229] 20369 20514 20659 20804 20949 21094 21239 21384 21529 21674 21819 21964
## [18241] 22109 22254 22399 22544 22689 22834 22979 23124 23269 23414 23559 23704
## [18253] 23849 23994 24139 24284 24429 24574 24719 24864 25009 25154 25299 25444
## [18265] 25589 25734 25879 26024 26169 26314 26459 26604 26749 26894 27039 27184
## [18277] 27329 27474 27619 27764 27909 28054 28199 28344 28489 28634 28779 28924
## [18289] 29069 29214 29359 29504 29649 29794 29939 30084 30229 30374 30519 30664
## [18301] 30809 30954 31099 31244 31389 31534 31679 31824 31969 32114 32259 32404
## [18313] 32549 32694 32839 32984 33129 33274 33419 33564 33709 33854 33999 34144
## [18325] 34289 34434 34579 34724 34869 35014 35159 35304 35449 35594 35739 35884
## [18337] 36029 36174 36319 36464 36609 36754 36899 37044 37189 37334 37479 37624
## [18349] 37769 37914 38059 38204 38349 38494 70 215 360 505 650 795
## [18361] 940 1085 1230 1375 1520 1665 1810 1955 2100 2245 2390 2535
## [18373] 2680 2825 2970 3115 3260 3405 3550 3695 3840 3985 4130 4275
## [18385] 4420 4565 4710 4855 5000 5145 5290 5435 5580 5725 5870 6015
## [18397] 6160 6305 6450 6595 6740 6885 7030 7175 7320 7465 7610 7755
## [18409] 7900 8045 8190 8335 8480 8625 8770 8915 9060 9205 9350 9495
## [18421] 9640 9785 9930 10075 10220 10365 10510 10655 10800 10945 11090 11235
## [18433] 11380 11525 11670 11815 11960 12105 12250 12395 12540 12685 12830 12975
## [18445] 13120 13265 13410 13555 13700 13845 13990 14135 14280 14425 14570 14715
## [18457] 14860 15005 15150 15295 15440 15585 15730 15875 16020 16165 16310 16455
## [18469] 16600 16745 16890 17035 17180 17325 17470 17615 17760 17905 18050 18195
## [18481] 18340 18485 18630 18775 18920 19065 19210 19355 19500 19645 19790 19935
## [18493] 20080 20225 20370 20515 20660 20805 20950 21095 21240 21385 21530 21675
## [18505] 21820 21965 22110 22255 22400 22545 22690 22835 22980 23125 23270 23415
## [18517] 23560 23705 23850 23995 24140 24285 24430 24575 24720 24865 25010 25155
## [18529] 25300 25445 25590 25735 25880 26025 26170 26315 26460 26605 26750 26895
## [18541] 27040 27185 27330 27475 27620 27765 27910 28055 28200 28345 28490 28635
## [18553] 28780 28925 29070 29215 29360 29505 29650 29795 29940 30085 30230 30375
## [18565] 30520 30665 30810 30955 31100 31245 31390 31535 31680 31825 31970 32115
## [18577] 32260 32405 32550 32695 32840 32985 33130 33275 33420 33565 33710 33855
## [18589] 34000 34145 34290 34435 34580 34725 34870 35015 35160 35305 35450 35595
## [18601] 35740 35885 36030 36175 36320 36465 36610 36755 36900 37045 37190 37335
## [18613] 37480 37625 37770 37915 38060 38205 38350 38495 71 216 361 506
## [18625] 651 796 941 1086 1231 1376 1521 1666 1811 1956 2101 2246
## [18637] 2391 2536 2681 2826 2971 3116 3261 3406 3551 3696 3841 3986
## [18649] 4131 4276 4421 4566 4711 4856 5001 5146 5291 5436 5581 5726
## [18661] 5871 6016 6161 6306 6451 6596 6741 6886 7031 7176 7321 7466
## [18673] 7611 7756 7901 8046 8191 8336 8481 8626 8771 8916 9061 9206
## [18685] 9351 9496 9641 9786 9931 10076 10221 10366 10511 10656 10801 10946
## [18697] 11091 11236 11381 11526 11671 11816 11961 12106 12251 12396 12541 12686
## [18709] 12831 12976 13121 13266 13411 13556 13701 13846 13991 14136 14281 14426
## [18721] 14571 14716 14861 15006 15151 15296 15441 15586 15731 15876 16021 16166
## [18733] 16311 16456 16601 16746 16891 17036 17181 17326 17471 17616 17761 17906
## [18745] 18051 18196 18341 18486 18631 18776 18921 19066 19211 19356 19501 19646
## [18757] 19791 19936 20081 20226 20371 20516 20661 20806 20951 21096 21241 21386
## [18769] 21531 21676 21821 21966 22111 22256 22401 22546 22691 22836 22981 23126
## [18781] 23271 23416 23561 23706 23851 23996 24141 24286 24431 24576 24721 24866
## [18793] 25011 25156 25301 25446 25591 25736 25881 26026 26171 26316 26461 26606
## [18805] 26751 26896 27041 27186 27331 27476 27621 27766 27911 28056 28201 28346
## [18817] 28491 28636 28781 28926 29071 29216 29361 29506 29651 29796 29941 30086
## [18829] 30231 30376 30521 30666 30811 30956 31101 31246 31391 31536 31681 31826
## [18841] 31971 32116 32261 32406 32551 32696 32841 32986 33131 33276 33421 33566
## [18853] 33711 33856 34001 34146 34291 34436 34581 34726 34871 35016 35161 35306
## [18865] 35451 35596 35741 35886 36031 36176 36321 36466 36611 36756 36901 37046
## [18877] 37191 37336 37481 37626 37771 37916 38061 38206 38351 38496 72 217
## [18889] 362 507 652 797 942 1087 1232 1377 1522 1667 1812 1957
## [18901] 2102 2247 2392 2537 2682 2827 2972 3117 3262 3407 3552 3697
## [18913] 3842 3987 4132 4277 4422 4567 4712 4857 5002 5147 5292 5437
## [18925] 5582 5727 5872 6017 6162 6307 6452 6597 6742 6887 7032 7177
## [18937] 7322 7467 7612 7757 7902 8047 8192 8337 8482 8627 8772 8917
## [18949] 9062 9207 9352 9497 9642 9787 9932 10077 10222 10367 10512 10657
## [18961] 10802 10947 11092 11237 11382 11527 11672 11817 11962 12107 12252 12397
## [18973] 12542 12687 12832 12977 13122 13267 13412 13557 13702 13847 13992 14137
## [18985] 14282 14427 14572 14717 14862 15007 15152 15297 15442 15587 15732 15877
## [18997] 16022 16167 16312 16457 16602 16747 16892 17037 17182 17327 17472 17617
## [19009] 17762 17907 18052 18197 18342 18487 18632 18777 18922 19067 19212 19357
## [19021] 19502 19647 19792 19937 20082 20227 20372 20517 20662 20807 20952 21097
## [19033] 21242 21387 21532 21677 21822 21967 22112 22257 22402 22547 22692 22837
## [19045] 22982 23127 23272 23417 23562 23707 23852 23997 24142 24287 24432 24577
## [19057] 24722 24867 25012 25157 25302 25447 25592 25737 25882 26027 26172 26317
## [19069] 26462 26607 26752 26897 27042 27187 27332 27477 27622 27767 27912 28057
## [19081] 28202 28347 28492 28637 28782 28927 29072 29217 29362 29507 29652 29797
## [19093] 29942 30087 30232 30377 30522 30667 30812 30957 31102 31247 31392 31537
## [19105] 31682 31827 31972 32117 32262 32407 32552 32697 32842 32987 33132 33277
## [19117] 33422 33567 33712 33857 34002 34147 34292 34437 34582 34727 34872 35017
## [19129] 35162 35307 35452 35597 35742 35887 36032 36177 36322 36467 36612 36757
## [19141] 36902 37047 37192 37337 37482 37627 37772 37917 38062 38207 38352 38497
## [19153] 73 218 363 508 653 798 943 1088 1233 1378 1523 1668
## [19165] 1813 1958 2103 2248 2393 2538 2683 2828 2973 3118 3263 3408
## [19177] 3553 3698 3843 3988 4133 4278 4423 4568 4713 4858 5003 5148
## [19189] 5293 5438 5583 5728 5873 6018 6163 6308 6453 6598 6743 6888
## [19201] 7033 7178 7323 7468 7613 7758 7903 8048 8193 8338 8483 8628
## [19213] 8773 8918 9063 9208 9353 9498 9643 9788 9933 10078 10223 10368
## [19225] 10513 10658 10803 10948 11093 11238 11383 11528 11673 11818 11963 12108
## [19237] 12253 12398 12543 12688 12833 12978 13123 13268 13413 13558 13703 13848
## [19249] 13993 14138 14283 14428 14573 14718 14863 15008 15153 15298 15443 15588
## [19261] 15733 15878 16023 16168 16313 16458 16603 16748 16893 17038 17183 17328
## [19273] 17473 17618 17763 17908 18053 18198 18343 18488 18633 18778 18923 19068
## [19285] 19213 19358 19503 19648 19793 19938 20083 20228 20373 20518 20663 20808
## [19297] 20953 21098 21243 21388 21533 21678 21823 21968 22113 22258 22403 22548
## [19309] 22693 22838 22983 23128 23273 23418 23563 23708 23853 23998 24143 24288
## [19321] 24433 24578 24723 24868 25013 25158 25303 25448 25593 25738 25883 26028
## [19333] 26173 26318 26463 26608 26753 26898 27043 27188 27333 27478 27623 27768
## [19345] 27913 28058 28203 28348 28493 28638 28783 28928 29073 29218 29363 29508
## [19357] 29653 29798 29943 30088 30233 30378 30523 30668 30813 30958 31103 31248
## [19369] 31393 31538 31683 31828 31973 32118 32263 32408 32553 32698 32843 32988
## [19381] 33133 33278 33423 33568 33713 33858 34003 34148 34293 34438 34583 34728
## [19393] 34873 35018 35163 35308 35453 35598 35743 35888 36033 36178 36323 36468
## [19405] 36613 36758 36903 37048 37193 37338 37483 37628 37773 37918 38063 38208
## [19417] 38353 38498 74 219 364 509 654 799 944 1089 1234 1379
## [19429] 1524 1669 1814 1959 2104 2249 2394 2539 2684 2829 2974 3119
## [19441] 3264 3409 3554 3699 3844 3989 4134 4279 4424 4569 4714 4859
## [19453] 5004 5149 5294 5439 5584 5729 5874 6019 6164 6309 6454 6599
## [19465] 6744 6889 7034 7179 7324 7469 7614 7759 7904 8049 8194 8339
## [19477] 8484 8629 8774 8919 9064 9209 9354 9499 9644 9789 9934 10079
## [19489] 10224 10369 10514 10659 10804 10949 11094 11239 11384 11529 11674 11819
## [19501] 11964 12109 12254 12399 12544 12689 12834 12979 13124 13269 13414 13559
## [19513] 13704 13849 13994 14139 14284 14429 14574 14719 14864 15009 15154 15299
## [19525] 15444 15589 15734 15879 16024 16169 16314 16459 16604 16749 16894 17039
## [19537] 17184 17329 17474 17619 17764 17909 18054 18199 18344 18489 18634 18779
## [19549] 18924 19069 19214 19359 19504 19649 19794 19939 20084 20229 20374 20519
## [19561] 20664 20809 20954 21099 21244 21389 21534 21679 21824 21969 22114 22259
## [19573] 22404 22549 22694 22839 22984 23129 23274 23419 23564 23709 23854 23999
## [19585] 24144 24289 24434 24579 24724 24869 25014 25159 25304 25449 25594 25739
## [19597] 25884 26029 26174 26319 26464 26609 26754 26899 27044 27189 27334 27479
## [19609] 27624 27769 27914 28059 28204 28349 28494 28639 28784 28929 29074 29219
## [19621] 29364 29509 29654 29799 29944 30089 30234 30379 30524 30669 30814 30959
## [19633] 31104 31249 31394 31539 31684 31829 31974 32119 32264 32409 32554 32699
## [19645] 32844 32989 33134 33279 33424 33569 33714 33859 34004 34149 34294 34439
## [19657] 34584 34729 34874 35019 35164 35309 35454 35599 35744 35889 36034 36179
## [19669] 36324 36469 36614 36759 36904 37049 37194 37339 37484 37629 37774 37919
## [19681] 38064 38209 38354 38499 75 220 365 510 655 800 945 1090
## [19693] 1235 1380 1525 1670 1815 1960 2105 2250 2395 2540 2685 2830
## [19705] 2975 3120 3265 3410 3555 3700 3845 3990 4135 4280 4425 4570
## [19717] 4715 4860 5005 5150 5295 5440 5585 5730 5875 6020 6165 6310
## [19729] 6455 6600 6745 6890 7035 7180 7325 7470 7615 7760 7905 8050
## [19741] 8195 8340 8485 8630 8775 8920 9065 9210 9355 9500 9645 9790
## [19753] 9935 10080 10225 10370 10515 10660 10805 10950 11095 11240 11385 11530
## [19765] 11675 11820 11965 12110 12255 12400 12545 12690 12835 12980 13125 13270
## [19777] 13415 13560 13705 13850 13995 14140 14285 14430 14575 14720 14865 15010
## [19789] 15155 15300 15445 15590 15735 15880 16025 16170 16315 16460 16605 16750
## [19801] 16895 17040 17185 17330 17475 17620 17765 17910 18055 18200 18345 18490
## [19813] 18635 18780 18925 19070 19215 19360 19505 19650 19795 19940 20085 20230
## [19825] 20375 20520 20665 20810 20955 21100 21245 21390 21535 21680 21825 21970
## [19837] 22115 22260 22405 22550 22695 22840 22985 23130 23275 23420 23565 23710
## [19849] 23855 24000 24145 24290 24435 24580 24725 24870 25015 25160 25305 25450
## [19861] 25595 25740 25885 26030 26175 26320 26465 26610 26755 26900 27045 27190
## [19873] 27335 27480 27625 27770 27915 28060 28205 28350 28495 28640 28785 28930
## [19885] 29075 29220 29365 29510 29655 29800 29945 30090 30235 30380 30525 30670
## [19897] 30815 30960 31105 31250 31395 31540 31685 31830 31975 32120 32265 32410
## [19909] 32555 32700 32845 32990 33135 33280 33425 33570 33715 33860 34005 34150
## [19921] 34295 34440 34585 34730 34875 35020 35165 35310 35455 35600 35745 35890
## [19933] 36035 36180 36325 36470 36615 36760 36905 37050 37195 37340 37485 37630
## [19945] 37775 37920 38065 38210 38355 38500 76 221 366 511 656 801
## [19957] 946 1091 1236 1381 1526 1671 1816 1961 2106 2251 2396 2541
## [19969] 2686 2831 2976 3121 3266 3411 3556 3701 3846 3991 4136 4281
## [19981] 4426 4571 4716 4861 5006 5151 5296 5441 5586 5731 5876 6021
## [19993] 6166 6311 6456 6601 6746 6891 7036 7181 7326 7471 7616 7761
## [20005] 7906 8051 8196 8341 8486 8631 8776 8921 9066 9211 9356 9501
## [20017] 9646 9791 9936 10081 10226 10371 10516 10661 10806 10951 11096 11241
## [20029] 11386 11531 11676 11821 11966 12111 12256 12401 12546 12691 12836 12981
## [20041] 13126 13271 13416 13561 13706 13851 13996 14141 14286 14431 14576 14721
## [20053] 14866 15011 15156 15301 15446 15591 15736 15881 16026 16171 16316 16461
## [20065] 16606 16751 16896 17041 17186 17331 17476 17621 17766 17911 18056 18201
## [20077] 18346 18491 18636 18781 18926 19071 19216 19361 19506 19651 19796 19941
## [20089] 20086 20231 20376 20521 20666 20811 20956 21101 21246 21391 21536 21681
## [20101] 21826 21971 22116 22261 22406 22551 22696 22841 22986 23131 23276 23421
## [20113] 23566 23711 23856 24001 24146 24291 24436 24581 24726 24871 25016 25161
## [20125] 25306 25451 25596 25741 25886 26031 26176 26321 26466 26611 26756 26901
## [20137] 27046 27191 27336 27481 27626 27771 27916 28061 28206 28351 28496 28641
## [20149] 28786 28931 29076 29221 29366 29511 29656 29801 29946 30091 30236 30381
## [20161] 30526 30671 30816 30961 31106 31251 31396 31541 31686 31831 31976 32121
## [20173] 32266 32411 32556 32701 32846 32991 33136 33281 33426 33571 33716 33861
## [20185] 34006 34151 34296 34441 34586 34731 34876 35021 35166 35311 35456 35601
## [20197] 35746 35891 36036 36181 36326 36471 36616 36761 36906 37051 37196 37341
## [20209] 37486 37631 37776 37921 38066 38211 38356 38501 77 222 367 512
## [20221] 657 802 947 1092 1237 1382 1527 1672 1817 1962 2107 2252
## [20233] 2397 2542 2687 2832 2977 3122 3267 3412 3557 3702 3847 3992
## [20245] 4137 4282 4427 4572 4717 4862 5007 5152 5297 5442 5587 5732
## [20257] 5877 6022 6167 6312 6457 6602 6747 6892 7037 7182 7327 7472
## [20269] 7617 7762 7907 8052 8197 8342 8487 8632 8777 8922 9067 9212
## [20281] 9357 9502 9647 9792 9937 10082 10227 10372 10517 10662 10807 10952
## [20293] 11097 11242 11387 11532 11677 11822 11967 12112 12257 12402 12547 12692
## [20305] 12837 12982 13127 13272 13417 13562 13707 13852 13997 14142 14287 14432
## [20317] 14577 14722 14867 15012 15157 15302 15447 15592 15737 15882 16027 16172
## [20329] 16317 16462 16607 16752 16897 17042 17187 17332 17477 17622 17767 17912
## [20341] 18057 18202 18347 18492 18637 18782 18927 19072 19217 19362 19507 19652
## [20353] 19797 19942 20087 20232 20377 20522 20667 20812 20957 21102 21247 21392
## [20365] 21537 21682 21827 21972 22117 22262 22407 22552 22697 22842 22987 23132
## [20377] 23277 23422 23567 23712 23857 24002 24147 24292 24437 24582 24727 24872
## [20389] 25017 25162 25307 25452 25597 25742 25887 26032 26177 26322 26467 26612
## [20401] 26757 26902 27047 27192 27337 27482 27627 27772 27917 28062 28207 28352
## [20413] 28497 28642 28787 28932 29077 29222 29367 29512 29657 29802 29947 30092
## [20425] 30237 30382 30527 30672 30817 30962 31107 31252 31397 31542 31687 31832
## [20437] 31977 32122 32267 32412 32557 32702 32847 32992 33137 33282 33427 33572
## [20449] 33717 33862 34007 34152 34297 34442 34587 34732 34877 35022 35167 35312
## [20461] 35457 35602 35747 35892 36037 36182 36327 36472 36617 36762 36907 37052
## [20473] 37197 37342 37487 37632 37777 37922 38067 38212 38357 38502 78 223
## [20485] 368 513 658 803 948 1093 1238 1383 1528 1673 1818 1963
## [20497] 2108 2253 2398 2543 2688 2833 2978 3123 3268 3413 3558 3703
## [20509] 3848 3993 4138 4283 4428 4573 4718 4863 5008 5153 5298 5443
## [20521] 5588 5733 5878 6023 6168 6313 6458 6603 6748 6893 7038 7183
## [20533] 7328 7473 7618 7763 7908 8053 8198 8343 8488 8633 8778 8923
## [20545] 9068 9213 9358 9503 9648 9793 9938 10083 10228 10373 10518 10663
## [20557] 10808 10953 11098 11243 11388 11533 11678 11823 11968 12113 12258 12403
## [20569] 12548 12693 12838 12983 13128 13273 13418 13563 13708 13853 13998 14143
## [20581] 14288 14433 14578 14723 14868 15013 15158 15303 15448 15593 15738 15883
## [20593] 16028 16173 16318 16463 16608 16753 16898 17043 17188 17333 17478 17623
## [20605] 17768 17913 18058 18203 18348 18493 18638 18783 18928 19073 19218 19363
## [20617] 19508 19653 19798 19943 20088 20233 20378 20523 20668 20813 20958 21103
## [20629] 21248 21393 21538 21683 21828 21973 22118 22263 22408 22553 22698 22843
## [20641] 22988 23133 23278 23423 23568 23713 23858 24003 24148 24293 24438 24583
## [20653] 24728 24873 25018 25163 25308 25453 25598 25743 25888 26033 26178 26323
## [20665] 26468 26613 26758 26903 27048 27193 27338 27483 27628 27773 27918 28063
## [20677] 28208 28353 28498 28643 28788 28933 29078 29223 29368 29513 29658 29803
## [20689] 29948 30093 30238 30383 30528 30673 30818 30963 31108 31253 31398 31543
## [20701] 31688 31833 31978 32123 32268 32413 32558 32703 32848 32993 33138 33283
## [20713] 33428 33573 33718 33863 34008 34153 34298 34443 34588 34733 34878 35023
## [20725] 35168 35313 35458 35603 35748 35893 36038 36183 36328 36473 36618 36763
## [20737] 36908 37053 37198 37343 37488 37633 37778 37923 38068 38213 38358 38503
## [20749] 79 224 369 514 659 804 949 1094 1239 1384 1529 1674
## [20761] 1819 1964 2109 2254 2399 2544 2689 2834 2979 3124 3269 3414
## [20773] 3559 3704 3849 3994 4139 4284 4429 4574 4719 4864 5009 5154
## [20785] 5299 5444 5589 5734 5879 6024 6169 6314 6459 6604 6749 6894
## [20797] 7039 7184 7329 7474 7619 7764 7909 8054 8199 8344 8489 8634
## [20809] 8779 8924 9069 9214 9359 9504 9649 9794 9939 10084 10229 10374
## [20821] 10519 10664 10809 10954 11099 11244 11389 11534 11679 11824 11969 12114
## [20833] 12259 12404 12549 12694 12839 12984 13129 13274 13419 13564 13709 13854
## [20845] 13999 14144 14289 14434 14579 14724 14869 15014 15159 15304 15449 15594
## [20857] 15739 15884 16029 16174 16319 16464 16609 16754 16899 17044 17189 17334
## [20869] 17479 17624 17769 17914 18059 18204 18349 18494 18639 18784 18929 19074
## [20881] 19219 19364 19509 19654 19799 19944 20089 20234 20379 20524 20669 20814
## [20893] 20959 21104 21249 21394 21539 21684 21829 21974 22119 22264 22409 22554
## [20905] 22699 22844 22989 23134 23279 23424 23569 23714 23859 24004 24149 24294
## [20917] 24439 24584 24729 24874 25019 25164 25309 25454 25599 25744 25889 26034
## [20929] 26179 26324 26469 26614 26759 26904 27049 27194 27339 27484 27629 27774
## [20941] 27919 28064 28209 28354 28499 28644 28789 28934 29079 29224 29369 29514
## [20953] 29659 29804 29949 30094 30239 30384 30529 30674 30819 30964 31109 31254
## [20965] 31399 31544 31689 31834 31979 32124 32269 32414 32559 32704 32849 32994
## [20977] 33139 33284 33429 33574 33719 33864 34009 34154 34299 34444 34589 34734
## [20989] 34879 35024 35169 35314 35459 35604 35749 35894 36039 36184 36329 36474
## [21001] 36619 36764 36909 37054 37199 37344 37489 37634 37779 37924 38069 38214
## [21013] 38359 38504 80 225 370 515 660 805 950 1095 1240 1385
## [21025] 1530 1675 1820 1965 2110 2255 2400 2545 2690 2835 2980 3125
## [21037] 3270 3415 3560 3705 3850 3995 4140 4285 4430 4575 4720 4865
## [21049] 5010 5155 5300 5445 5590 5735 5880 6025 6170 6315 6460 6605
## [21061] 6750 6895 7040 7185 7330 7475 7620 7765 7910 8055 8200 8345
## [21073] 8490 8635 8780 8925 9070 9215 9360 9505 9650 9795 9940 10085
## [21085] 10230 10375 10520 10665 10810 10955 11100 11245 11390 11535 11680 11825
## [21097] 11970 12115 12260 12405 12550 12695 12840 12985 13130 13275 13420 13565
## [21109] 13710 13855 14000 14145 14290 14435 14580 14725 14870 15015 15160 15305
## [21121] 15450 15595 15740 15885 16030 16175 16320 16465 16610 16755 16900 17045
## [21133] 17190 17335 17480 17625 17770 17915 18060 18205 18350 18495 18640 18785
## [21145] 18930 19075 19220 19365 19510 19655 19800 19945 20090 20235 20380 20525
## [21157] 20670 20815 20960 21105 21250 21395 21540 21685 21830 21975 22120 22265
## [21169] 22410 22555 22700 22845 22990 23135 23280 23425 23570 23715 23860 24005
## [21181] 24150 24295 24440 24585 24730 24875 25020 25165 25310 25455 25600 25745
## [21193] 25890 26035 26180 26325 26470 26615 26760 26905 27050 27195 27340 27485
## [21205] 27630 27775 27920 28065 28210 28355 28500 28645 28790 28935 29080 29225
## [21217] 29370 29515 29660 29805 29950 30095 30240 30385 30530 30675 30820 30965
## [21229] 31110 31255 31400 31545 31690 31835 31980 32125 32270 32415 32560 32705
## [21241] 32850 32995 33140 33285 33430 33575 33720 33865 34010 34155 34300 34445
## [21253] 34590 34735 34880 35025 35170 35315 35460 35605 35750 35895 36040 36185
## [21265] 36330 36475 36620 36765 36910 37055 37200 37345 37490 37635 37780 37925
## [21277] 38070 38215 38360 38505 81 226 371 516 661 806 951 1096
## [21289] 1241 1386 1531 1676 1821 1966 2111 2256 2401 2546 2691 2836
## [21301] 2981 3126 3271 3416 3561 3706 3851 3996 4141 4286 4431 4576
## [21313] 4721 4866 5011 5156 5301 5446 5591 5736 5881 6026 6171 6316
## [21325] 6461 6606 6751 6896 7041 7186 7331 7476 7621 7766 7911 8056
## [21337] 8201 8346 8491 8636 8781 8926 9071 9216 9361 9506 9651 9796
## [21349] 9941 10086 10231 10376 10521 10666 10811 10956 11101 11246 11391 11536
## [21361] 11681 11826 11971 12116 12261 12406 12551 12696 12841 12986 13131 13276
## [21373] 13421 13566 13711 13856 14001 14146 14291 14436 14581 14726 14871 15016
## [21385] 15161 15306 15451 15596 15741 15886 16031 16176 16321 16466 16611 16756
## [21397] 16901 17046 17191 17336 17481 17626 17771 17916 18061 18206 18351 18496
## [21409] 18641 18786 18931 19076 19221 19366 19511 19656 19801 19946 20091 20236
## [21421] 20381 20526 20671 20816 20961 21106 21251 21396 21541 21686 21831 21976
## [21433] 22121 22266 22411 22556 22701 22846 22991 23136 23281 23426 23571 23716
## [21445] 23861 24006 24151 24296 24441 24586 24731 24876 25021 25166 25311 25456
## [21457] 25601 25746 25891 26036 26181 26326 26471 26616 26761 26906 27051 27196
## [21469] 27341 27486 27631 27776 27921 28066 28211 28356 28501 28646 28791 28936
## [21481] 29081 29226 29371 29516 29661 29806 29951 30096 30241 30386 30531 30676
## [21493] 30821 30966 31111 31256 31401 31546 31691 31836 31981 32126 32271 32416
## [21505] 32561 32706 32851 32996 33141 33286 33431 33576 33721 33866 34011 34156
## [21517] 34301 34446 34591 34736 34881 35026 35171 35316 35461 35606 35751 35896
## [21529] 36041 36186 36331 36476 36621 36766 36911 37056 37201 37346 37491 37636
## [21541] 37781 37926 38071 38216 38361 38506 82 227 372 517 662 807
## [21553] 952 1097 1242 1387 1532 1677 1822 1967 2112 2257 2402 2547
## [21565] 2692 2837 2982 3127 3272 3417 3562 3707 3852 3997 4142 4287
## [21577] 4432 4577 4722 4867 5012 5157 5302 5447 5592 5737 5882 6027
## [21589] 6172 6317 6462 6607 6752 6897 7042 7187 7332 7477 7622 7767
## [21601] 7912 8057 8202 8347 8492 8637 8782 8927 9072 9217 9362 9507
## [21613] 9652 9797 9942 10087 10232 10377 10522 10667 10812 10957 11102 11247
## [21625] 11392 11537 11682 11827 11972 12117 12262 12407 12552 12697 12842 12987
## [21637] 13132 13277 13422 13567 13712 13857 14002 14147 14292 14437 14582 14727
## [21649] 14872 15017 15162 15307 15452 15597 15742 15887 16032 16177 16322 16467
## [21661] 16612 16757 16902 17047 17192 17337 17482 17627 17772 17917 18062 18207
## [21673] 18352 18497 18642 18787 18932 19077 19222 19367 19512 19657 19802 19947
## [21685] 20092 20237 20382 20527 20672 20817 20962 21107 21252 21397 21542 21687
## [21697] 21832 21977 22122 22267 22412 22557 22702 22847 22992 23137 23282 23427
## [21709] 23572 23717 23862 24007 24152 24297 24442 24587 24732 24877 25022 25167
## [21721] 25312 25457 25602 25747 25892 26037 26182 26327 26472 26617 26762 26907
## [21733] 27052 27197 27342 27487 27632 27777 27922 28067 28212 28357 28502 28647
## [21745] 28792 28937 29082 29227 29372 29517 29662 29807 29952 30097 30242 30387
## [21757] 30532 30677 30822 30967 31112 31257 31402 31547 31692 31837 31982 32127
## [21769] 32272 32417 32562 32707 32852 32997 33142 33287 33432 33577 33722 33867
## [21781] 34012 34157 34302 34447 34592 34737 34882 35027 35172 35317 35462 35607
## [21793] 35752 35897 36042 36187 36332 36477 36622 36767 36912 37057 37202 37347
## [21805] 37492 37637 37782 37927 38072 38217 38362 38507 83 228 373 518
## [21817] 663 808 953 1098 1243 1388 1533 1678 1823 1968 2113 2258
## [21829] 2403 2548 2693 2838 2983 3128 3273 3418 3563 3708 3853 3998
## [21841] 4143 4288 4433 4578 4723 4868 5013 5158 5303 5448 5593 5738
## [21853] 5883 6028 6173 6318 6463 6608 6753 6898 7043 7188 7333 7478
## [21865] 7623 7768 7913 8058 8203 8348 8493 8638 8783 8928 9073 9218
## [21877] 9363 9508 9653 9798 9943 10088 10233 10378 10523 10668 10813 10958
## [21889] 11103 11248 11393 11538 11683 11828 11973 12118 12263 12408 12553 12698
## [21901] 12843 12988 13133 13278 13423 13568 13713 13858 14003 14148 14293 14438
## [21913] 14583 14728 14873 15018 15163 15308 15453 15598 15743 15888 16033 16178
## [21925] 16323 16468 16613 16758 16903 17048 17193 17338 17483 17628 17773 17918
## [21937] 18063 18208 18353 18498 18643 18788 18933 19078 19223 19368 19513 19658
## [21949] 19803 19948 20093 20238 20383 20528 20673 20818 20963 21108 21253 21398
## [21961] 21543 21688 21833 21978 22123 22268 22413 22558 22703 22848 22993 23138
## [21973] 23283 23428 23573 23718 23863 24008 24153 24298 24443 24588 24733 24878
## [21985] 25023 25168 25313 25458 25603 25748 25893 26038 26183 26328 26473 26618
## [21997] 26763 26908 27053 27198 27343 27488 27633 27778 27923 28068 28213 28358
## [22009] 28503 28648 28793 28938 29083 29228 29373 29518 29663 29808 29953 30098
## [22021] 30243 30388 30533 30678 30823 30968 31113 31258 31403 31548 31693 31838
## [22033] 31983 32128 32273 32418 32563 32708 32853 32998 33143 33288 33433 33578
## [22045] 33723 33868 34013 34158 34303 34448 34593 34738 34883 35028 35173 35318
## [22057] 35463 35608 35753 35898 36043 36188 36333 36478 36623 36768 36913 37058
## [22069] 37203 37348 37493 37638 37783 37928 38073 38218 38363 38508 84 229
## [22081] 374 519 664 809 954 1099 1244 1389 1534 1679 1824 1969
## [22093] 2114 2259 2404 2549 2694 2839 2984 3129 3274 3419 3564 3709
## [22105] 3854 3999 4144 4289 4434 4579 4724 4869 5014 5159 5304 5449
## [22117] 5594 5739 5884 6029 6174 6319 6464 6609 6754 6899 7044 7189
## [22129] 7334 7479 7624 7769 7914 8059 8204 8349 8494 8639 8784 8929
## [22141] 9074 9219 9364 9509 9654 9799 9944 10089 10234 10379 10524 10669
## [22153] 10814 10959 11104 11249 11394 11539 11684 11829 11974 12119 12264 12409
## [22165] 12554 12699 12844 12989 13134 13279 13424 13569 13714 13859 14004 14149
## [22177] 14294 14439 14584 14729 14874 15019 15164 15309 15454 15599 15744 15889
## [22189] 16034 16179 16324 16469 16614 16759 16904 17049 17194 17339 17484 17629
## [22201] 17774 17919 18064 18209 18354 18499 18644 18789 18934 19079 19224 19369
## [22213] 19514 19659 19804 19949 20094 20239 20384 20529 20674 20819 20964 21109
## [22225] 21254 21399 21544 21689 21834 21979 22124 22269 22414 22559 22704 22849
## [22237] 22994 23139 23284 23429 23574 23719 23864 24009 24154 24299 24444 24589
## [22249] 24734 24879 25024 25169 25314 25459 25604 25749 25894 26039 26184 26329
## [22261] 26474 26619 26764 26909 27054 27199 27344 27489 27634 27779 27924 28069
## [22273] 28214 28359 28504 28649 28794 28939 29084 29229 29374 29519 29664 29809
## [22285] 29954 30099 30244 30389 30534 30679 30824 30969 31114 31259 31404 31549
## [22297] 31694 31839 31984 32129 32274 32419 32564 32709 32854 32999 33144 33289
## [22309] 33434 33579 33724 33869 34014 34159 34304 34449 34594 34739 34884 35029
## [22321] 35174 35319 35464 35609 35754 35899 36044 36189 36334 36479 36624 36769
## [22333] 36914 37059 37204 37349 37494 37639 37784 37929 38074 38219 38364 38509
## [22345] 85 230 375 520 665 810 955 1100 1245 1390 1535 1680
## [22357] 1825 1970 2115 2260 2405 2550 2695 2840 2985 3130 3275 3420
## [22369] 3565 3710 3855 4000 4145 4290 4435 4580 4725 4870 5015 5160
## [22381] 5305 5450 5595 5740 5885 6030 6175 6320 6465 6610 6755 6900
## [22393] 7045 7190 7335 7480 7625 7770 7915 8060 8205 8350 8495 8640
## [22405] 8785 8930 9075 9220 9365 9510 9655 9800 9945 10090 10235 10380
## [22417] 10525 10670 10815 10960 11105 11250 11395 11540 11685 11830 11975 12120
## [22429] 12265 12410 12555 12700 12845 12990 13135 13280 13425 13570 13715 13860
## [22441] 14005 14150 14295 14440 14585 14730 14875 15020 15165 15310 15455 15600
## [22453] 15745 15890 16035 16180 16325 16470 16615 16760 16905 17050 17195 17340
## [22465] 17485 17630 17775 17920 18065 18210 18355 18500 18645 18790 18935 19080
## [22477] 19225 19370 19515 19660 19805 19950 20095 20240 20385 20530 20675 20820
## [22489] 20965 21110 21255 21400 21545 21690 21835 21980 22125 22270 22415 22560
## [22501] 22705 22850 22995 23140 23285 23430 23575 23720 23865 24010 24155 24300
## [22513] 24445 24590 24735 24880 25025 25170 25315 25460 25605 25750 25895 26040
## [22525] 26185 26330 26475 26620 26765 26910 27055 27200 27345 27490 27635 27780
## [22537] 27925 28070 28215 28360 28505 28650 28795 28940 29085 29230 29375 29520
## [22549] 29665 29810 29955 30100 30245 30390 30535 30680 30825 30970 31115 31260
## [22561] 31405 31550 31695 31840 31985 32130 32275 32420 32565 32710 32855 33000
## [22573] 33145 33290 33435 33580 33725 33870 34015 34160 34305 34450 34595 34740
## [22585] 34885 35030 35175 35320 35465 35610 35755 35900 36045 36190 36335 36480
## [22597] 36625 36770 36915 37060 37205 37350 37495 37640 37785 37930 38075 38220
## [22609] 38365 38510 86 231 376 521 666 811 956 1101 1246 1391
## [22621] 1536 1681 1826 1971 2116 2261 2406 2551 2696 2841 2986 3131
## [22633] 3276 3421 3566 3711 3856 4001 4146 4291 4436 4581 4726 4871
## [22645] 5016 5161 5306 5451 5596 5741 5886 6031 6176 6321 6466 6611
## [22657] 6756 6901 7046 7191 7336 7481 7626 7771 7916 8061 8206 8351
## [22669] 8496 8641 8786 8931 9076 9221 9366 9511 9656 9801 9946 10091
## [22681] 10236 10381 10526 10671 10816 10961 11106 11251 11396 11541 11686 11831
## [22693] 11976 12121 12266 12411 12556 12701 12846 12991 13136 13281 13426 13571
## [22705] 13716 13861 14006 14151 14296 14441 14586 14731 14876 15021 15166 15311
## [22717] 15456 15601 15746 15891 16036 16181 16326 16471 16616 16761 16906 17051
## [22729] 17196 17341 17486 17631 17776 17921 18066 18211 18356 18501 18646 18791
## [22741] 18936 19081 19226 19371 19516 19661 19806 19951 20096 20241 20386 20531
## [22753] 20676 20821 20966 21111 21256 21401 21546 21691 21836 21981 22126 22271
## [22765] 22416 22561 22706 22851 22996 23141 23286 23431 23576 23721 23866 24011
## [22777] 24156 24301 24446 24591 24736 24881 25026 25171 25316 25461 25606 25751
## [22789] 25896 26041 26186 26331 26476 26621 26766 26911 27056 27201 27346 27491
## [22801] 27636 27781 27926 28071 28216 28361 28506 28651 28796 28941 29086 29231
## [22813] 29376 29521 29666 29811 29956 30101 30246 30391 30536 30681 30826 30971
## [22825] 31116 31261 31406 31551 31696 31841 31986 32131 32276 32421 32566 32711
## [22837] 32856 33001 33146 33291 33436 33581 33726 33871 34016 34161 34306 34451
## [22849] 34596 34741 34886 35031 35176 35321 35466 35611 35756 35901 36046 36191
## [22861] 36336 36481 36626 36771 36916 37061 37206 37351 37496 37641 37786 37931
## [22873] 38076 38221 38366 38511 87 232 377 522 667 812 957 1102
## [22885] 1247 1392 1537 1682 1827 1972 2117 2262 2407 2552 2697 2842
## [22897] 2987 3132 3277 3422 3567 3712 3857 4002 4147 4292 4437 4582
## [22909] 4727 4872 5017 5162 5307 5452 5597 5742 5887 6032 6177 6322
## [22921] 6467 6612 6757 6902 7047 7192 7337 7482 7627 7772 7917 8062
## [22933] 8207 8352 8497 8642 8787 8932 9077 9222 9367 9512 9657 9802
## [22945] 9947 10092 10237 10382 10527 10672 10817 10962 11107 11252 11397 11542
## [22957] 11687 11832 11977 12122 12267 12412 12557 12702 12847 12992 13137 13282
## [22969] 13427 13572 13717 13862 14007 14152 14297 14442 14587 14732 14877 15022
## [22981] 15167 15312 15457 15602 15747 15892 16037 16182 16327 16472 16617 16762
## [22993] 16907 17052 17197 17342 17487 17632 17777 17922 18067 18212 18357 18502
## [23005] 18647 18792 18937 19082 19227 19372 19517 19662 19807 19952 20097 20242
## [23017] 20387 20532 20677 20822 20967 21112 21257 21402 21547 21692 21837 21982
## [23029] 22127 22272 22417 22562 22707 22852 22997 23142 23287 23432 23577 23722
## [23041] 23867 24012 24157 24302 24447 24592 24737 24882 25027 25172 25317 25462
## [23053] 25607 25752 25897 26042 26187 26332 26477 26622 26767 26912 27057 27202
## [23065] 27347 27492 27637 27782 27927 28072 28217 28362 28507 28652 28797 28942
## [23077] 29087 29232 29377 29522 29667 29812 29957 30102 30247 30392 30537 30682
## [23089] 30827 30972 31117 31262 31407 31552 31697 31842 31987 32132 32277 32422
## [23101] 32567 32712 32857 33002 33147 33292 33437 33582 33727 33872 34017 34162
## [23113] 34307 34452 34597 34742 34887 35032 35177 35322 35467 35612 35757 35902
## [23125] 36047 36192 36337 36482 36627 36772 36917 37062 37207 37352 37497 37642
## [23137] 37787 37932 38077 38222 38367 38512 88 233 378 523 668 813
## [23149] 958 1103 1248 1393 1538 1683 1828 1973 2118 2263 2408 2553
## [23161] 2698 2843 2988 3133 3278 3423 3568 3713 3858 4003 4148 4293
## [23173] 4438 4583 4728 4873 5018 5163 5308 5453 5598 5743 5888 6033
## [23185] 6178 6323 6468 6613 6758 6903 7048 7193 7338 7483 7628 7773
## [23197] 7918 8063 8208 8353 8498 8643 8788 8933 9078 9223 9368 9513
## [23209] 9658 9803 9948 10093 10238 10383 10528 10673 10818 10963 11108 11253
## [23221] 11398 11543 11688 11833 11978 12123 12268 12413 12558 12703 12848 12993
## [23233] 13138 13283 13428 13573 13718 13863 14008 14153 14298 14443 14588 14733
## [23245] 14878 15023 15168 15313 15458 15603 15748 15893 16038 16183 16328 16473
## [23257] 16618 16763 16908 17053 17198 17343 17488 17633 17778 17923 18068 18213
## [23269] 18358 18503 18648 18793 18938 19083 19228 19373 19518 19663 19808 19953
## [23281] 20098 20243 20388 20533 20678 20823 20968 21113 21258 21403 21548 21693
## [23293] 21838 21983 22128 22273 22418 22563 22708 22853 22998 23143 23288 23433
## [23305] 23578 23723 23868 24013 24158 24303 24448 24593 24738 24883 25028 25173
## [23317] 25318 25463 25608 25753 25898 26043 26188 26333 26478 26623 26768 26913
## [23329] 27058 27203 27348 27493 27638 27783 27928 28073 28218 28363 28508 28653
## [23341] 28798 28943 29088 29233 29378 29523 29668 29813 29958 30103 30248 30393
## [23353] 30538 30683 30828 30973 31118 31263 31408 31553 31698 31843 31988 32133
## [23365] 32278 32423 32568 32713 32858 33003 33148 33293 33438 33583 33728 33873
## [23377] 34018 34163 34308 34453 34598 34743 34888 35033 35178 35323 35468 35613
## [23389] 35758 35903 36048 36193 36338 36483 36628 36773 36918 37063 37208 37353
## [23401] 37498 37643 37788 37933 38078 38223 38368 38513 89 234 379 524
## [23413] 669 814 959 1104 1249 1394 1539 1684 1829 1974 2119 2264
## [23425] 2409 2554 2699 2844 2989 3134 3279 3424 3569 3714 3859 4004
## [23437] 4149 4294 4439 4584 4729 4874 5019 5164 5309 5454 5599 5744
## [23449] 5889 6034 6179 6324 6469 6614 6759 6904 7049 7194 7339 7484
## [23461] 7629 7774 7919 8064 8209 8354 8499 8644 8789 8934 9079 9224
## [23473] 9369 9514 9659 9804 9949 10094 10239 10384 10529 10674 10819 10964
## [23485] 11109 11254 11399 11544 11689 11834 11979 12124 12269 12414 12559 12704
## [23497] 12849 12994 13139 13284 13429 13574 13719 13864 14009 14154 14299 14444
## [23509] 14589 14734 14879 15024 15169 15314 15459 15604 15749 15894 16039 16184
## [23521] 16329 16474 16619 16764 16909 17054 17199 17344 17489 17634 17779 17924
## [23533] 18069 18214 18359 18504 18649 18794 18939 19084 19229 19374 19519 19664
## [23545] 19809 19954 20099 20244 20389 20534 20679 20824 20969 21114 21259 21404
## [23557] 21549 21694 21839 21984 22129 22274 22419 22564 22709 22854 22999 23144
## [23569] 23289 23434 23579 23724 23869 24014 24159 24304 24449 24594 24739 24884
## [23581] 25029 25174 25319 25464 25609 25754 25899 26044 26189 26334 26479 26624
## [23593] 26769 26914 27059 27204 27349 27494 27639 27784 27929 28074 28219 28364
## [23605] 28509 28654 28799 28944 29089 29234 29379 29524 29669 29814 29959 30104
## [23617] 30249 30394 30539 30684 30829 30974 31119 31264 31409 31554 31699 31844
## [23629] 31989 32134 32279 32424 32569 32714 32859 33004 33149 33294 33439 33584
## [23641] 33729 33874 34019 34164 34309 34454 34599 34744 34889 35034 35179 35324
## [23653] 35469 35614 35759 35904 36049 36194 36339 36484 36629 36774 36919 37064
## [23665] 37209 37354 37499 37644 37789 37934 38079 38224 38369 38514 90 235
## [23677] 380 525 670 815 960 1105 1250 1395 1540 1685 1830 1975
## [23689] 2120 2265 2410 2555 2700 2845 2990 3135 3280 3425 3570 3715
## [23701] 3860 4005 4150 4295 4440 4585 4730 4875 5020 5165 5310 5455
## [23713] 5600 5745 5890 6035 6180 6325 6470 6615 6760 6905 7050 7195
## [23725] 7340 7485 7630 7775 7920 8065 8210 8355 8500 8645 8790 8935
## [23737] 9080 9225 9370 9515 9660 9805 9950 10095 10240 10385 10530 10675
## [23749] 10820 10965 11110 11255 11400 11545 11690 11835 11980 12125 12270 12415
## [23761] 12560 12705 12850 12995 13140 13285 13430 13575 13720 13865 14010 14155
## [23773] 14300 14445 14590 14735 14880 15025 15170 15315 15460 15605 15750 15895
## [23785] 16040 16185 16330 16475 16620 16765 16910 17055 17200 17345 17490 17635
## [23797] 17780 17925 18070 18215 18360 18505 18650 18795 18940 19085 19230 19375
## [23809] 19520 19665 19810 19955 20100 20245 20390 20535 20680 20825 20970 21115
## [23821] 21260 21405 21550 21695 21840 21985 22130 22275 22420 22565 22710 22855
## [23833] 23000 23145 23290 23435 23580 23725 23870 24015 24160 24305 24450 24595
## [23845] 24740 24885 25030 25175 25320 25465 25610 25755 25900 26045 26190 26335
## [23857] 26480 26625 26770 26915 27060 27205 27350 27495 27640 27785 27930 28075
## [23869] 28220 28365 28510 28655 28800 28945 29090 29235 29380 29525 29670 29815
## [23881] 29960 30105 30250 30395 30540 30685 30830 30975 31120 31265 31410 31555
## [23893] 31700 31845 31990 32135 32280 32425 32570 32715 32860 33005 33150 33295
## [23905] 33440 33585 33730 33875 34020 34165 34310 34455 34600 34745 34890 35035
## [23917] 35180 35325 35470 35615 35760 35905 36050 36195 36340 36485 36630 36775
## [23929] 36920 37065 37210 37355 37500 37645 37790 37935 38080 38225 38370 38515
## [23941] 91 236 381 526 671 816 961 1106 1251 1396 1541 1686
## [23953] 1831 1976 2121 2266 2411 2556 2701 2846 2991 3136 3281 3426
## [23965] 3571 3716 3861 4006 4151 4296 4441 4586 4731 4876 5021 5166
## [23977] 5311 5456 5601 5746 5891 6036 6181 6326 6471 6616 6761 6906
## [23989] 7051 7196 7341 7486 7631 7776 7921 8066 8211 8356 8501 8646
## [24001] 8791 8936 9081 9226 9371 9516 9661 9806 9951 10096 10241 10386
## [24013] 10531 10676 10821 10966 11111 11256 11401 11546 11691 11836 11981 12126
## [24025] 12271 12416 12561 12706 12851 12996 13141 13286 13431 13576 13721 13866
## [24037] 14011 14156 14301 14446 14591 14736 14881 15026 15171 15316 15461 15606
## [24049] 15751 15896 16041 16186 16331 16476 16621 16766 16911 17056 17201 17346
## [24061] 17491 17636 17781 17926 18071 18216 18361 18506 18651 18796 18941 19086
## [24073] 19231 19376 19521 19666 19811 19956 20101 20246 20391 20536 20681 20826
## [24085] 20971 21116 21261 21406 21551 21696 21841 21986 22131 22276 22421 22566
## [24097] 22711 22856 23001 23146 23291 23436 23581 23726 23871 24016 24161 24306
## [24109] 24451 24596 24741 24886 25031 25176 25321 25466 25611 25756 25901 26046
## [24121] 26191 26336 26481 26626 26771 26916 27061 27206 27351 27496 27641 27786
## [24133] 27931 28076 28221 28366 28511 28656 28801 28946 29091 29236 29381 29526
## [24145] 29671 29816 29961 30106 30251 30396 30541 30686 30831 30976 31121 31266
## [24157] 31411 31556 31701 31846 31991 32136 32281 32426 32571 32716 32861 33006
## [24169] 33151 33296 33441 33586 33731 33876 34021 34166 34311 34456 34601 34746
## [24181] 34891 35036 35181 35326 35471 35616 35761 35906 36051 36196 36341 36486
## [24193] 36631 36776 36921 37066 37211 37356 37501 37646 37791 37936 38081 38226
## [24205] 38371 38516 92 237 382 527 672 817 962 1107 1252 1397
## [24217] 1542 1687 1832 1977 2122 2267 2412 2557 2702 2847 2992 3137
## [24229] 3282 3427 3572 3717 3862 4007 4152 4297 4442 4587 4732 4877
## [24241] 5022 5167 5312 5457 5602 5747 5892 6037 6182 6327 6472 6617
## [24253] 6762 6907 7052 7197 7342 7487 7632 7777 7922 8067 8212 8357
## [24265] 8502 8647 8792 8937 9082 9227 9372 9517 9662 9807 9952 10097
## [24277] 10242 10387 10532 10677 10822 10967 11112 11257 11402 11547 11692 11837
## [24289] 11982 12127 12272 12417 12562 12707 12852 12997 13142 13287 13432 13577
## [24301] 13722 13867 14012 14157 14302 14447 14592 14737 14882 15027 15172 15317
## [24313] 15462 15607 15752 15897 16042 16187 16332 16477 16622 16767 16912 17057
## [24325] 17202 17347 17492 17637 17782 17927 18072 18217 18362 18507 18652 18797
## [24337] 18942 19087 19232 19377 19522 19667 19812 19957 20102 20247 20392 20537
## [24349] 20682 20827 20972 21117 21262 21407 21552 21697 21842 21987 22132 22277
## [24361] 22422 22567 22712 22857 23002 23147 23292 23437 23582 23727 23872 24017
## [24373] 24162 24307 24452 24597 24742 24887 25032 25177 25322 25467 25612 25757
## [24385] 25902 26047 26192 26337 26482 26627 26772 26917 27062 27207 27352 27497
## [24397] 27642 27787 27932 28077 28222 28367 28512 28657 28802 28947 29092 29237
## [24409] 29382 29527 29672 29817 29962 30107 30252 30397 30542 30687 30832 30977
## [24421] 31122 31267 31412 31557 31702 31847 31992 32137 32282 32427 32572 32717
## [24433] 32862 33007 33152 33297 33442 33587 33732 33877 34022 34167 34312 34457
## [24445] 34602 34747 34892 35037 35182 35327 35472 35617 35762 35907 36052 36197
## [24457] 36342 36487 36632 36777 36922 37067 37212 37357 37502 37647 37792 37937
## [24469] 38082 38227 38372 38517 93 238 383 528 673 818 963 1108
## [24481] 1253 1398 1543 1688 1833 1978 2123 2268 2413 2558 2703 2848
## [24493] 2993 3138 3283 3428 3573 3718 3863 4008 4153 4298 4443 4588
## [24505] 4733 4878 5023 5168 5313 5458 5603 5748 5893 6038 6183 6328
## [24517] 6473 6618 6763 6908 7053 7198 7343 7488 7633 7778 7923 8068
## [24529] 8213 8358 8503 8648 8793 8938 9083 9228 9373 9518 9663 9808
## [24541] 9953 10098 10243 10388 10533 10678 10823 10968 11113 11258 11403 11548
## [24553] 11693 11838 11983 12128 12273 12418 12563 12708 12853 12998 13143 13288
## [24565] 13433 13578 13723 13868 14013 14158 14303 14448 14593 14738 14883 15028
## [24577] 15173 15318 15463 15608 15753 15898 16043 16188 16333 16478 16623 16768
## [24589] 16913 17058 17203 17348 17493 17638 17783 17928 18073 18218 18363 18508
## [24601] 18653 18798 18943 19088 19233 19378 19523 19668 19813 19958 20103 20248
## [24613] 20393 20538 20683 20828 20973 21118 21263 21408 21553 21698 21843 21988
## [24625] 22133 22278 22423 22568 22713 22858 23003 23148 23293 23438 23583 23728
## [24637] 23873 24018 24163 24308 24453 24598 24743 24888 25033 25178 25323 25468
## [24649] 25613 25758 25903 26048 26193 26338 26483 26628 26773 26918 27063 27208
## [24661] 27353 27498 27643 27788 27933 28078 28223 28368 28513 28658 28803 28948
## [24673] 29093 29238 29383 29528 29673 29818 29963 30108 30253 30398 30543 30688
## [24685] 30833 30978 31123 31268 31413 31558 31703 31848 31993 32138 32283 32428
## [24697] 32573 32718 32863 33008 33153 33298 33443 33588 33733 33878 34023 34168
## [24709] 34313 34458 34603 34748 34893 35038 35183 35328 35473 35618 35763 35908
## [24721] 36053 36198 36343 36488 36633 36778 36923 37068 37213 37358 37503 37648
## [24733] 37793 37938 38083 38228 38373 38518 94 239 384 529 674 819
## [24745] 964 1109 1254 1399 1544 1689 1834 1979 2124 2269 2414 2559
## [24757] 2704 2849 2994 3139 3284 3429 3574 3719 3864 4009 4154 4299
## [24769] 4444 4589 4734 4879 5024 5169 5314 5459 5604 5749 5894 6039
## [24781] 6184 6329 6474 6619 6764 6909 7054 7199 7344 7489 7634 7779
## [24793] 7924 8069 8214 8359 8504 8649 8794 8939 9084 9229 9374 9519
## [24805] 9664 9809 9954 10099 10244 10389 10534 10679 10824 10969 11114 11259
## [24817] 11404 11549 11694 11839 11984 12129 12274 12419 12564 12709 12854 12999
## [24829] 13144 13289 13434 13579 13724 13869 14014 14159 14304 14449 14594 14739
## [24841] 14884 15029 15174 15319 15464 15609 15754 15899 16044 16189 16334 16479
## [24853] 16624 16769 16914 17059 17204 17349 17494 17639 17784 17929 18074 18219
## [24865] 18364 18509 18654 18799 18944 19089 19234 19379 19524 19669 19814 19959
## [24877] 20104 20249 20394 20539 20684 20829 20974 21119 21264 21409 21554 21699
## [24889] 21844 21989 22134 22279 22424 22569 22714 22859 23004 23149 23294 23439
## [24901] 23584 23729 23874 24019 24164 24309 24454 24599 24744 24889 25034 25179
## [24913] 25324 25469 25614 25759 25904 26049 26194 26339 26484 26629 26774 26919
## [24925] 27064 27209 27354 27499 27644 27789 27934 28079 28224 28369 28514 28659
## [24937] 28804 28949 29094 29239 29384 29529 29674 29819 29964 30109 30254 30399
## [24949] 30544 30689 30834 30979 31124 31269 31414 31559 31704 31849 31994 32139
## [24961] 32284 32429 32574 32719 32864 33009 33154 33299 33444 33589 33734 33879
## [24973] 34024 34169 34314 34459 34604 34749 34894 35039 35184 35329 35474 35619
## [24985] 35764 35909 36054 36199 36344 36489 36634 36779 36924 37069 37214 37359
## [24997] 37504 37649 37794 37939 38084 38229 38374 38519 95 240 385 530
## [25009] 675 820 965 1110 1255 1400 1545 1690 1835 1980 2125 2270
## [25021] 2415 2560 2705 2850 2995 3140 3285 3430 3575 3720 3865 4010
## [25033] 4155 4300 4445 4590 4735 4880 5025 5170 5315 5460 5605 5750
## [25045] 5895 6040 6185 6330 6475 6620 6765 6910 7055 7200 7345 7490
## [25057] 7635 7780 7925 8070 8215 8360 8505 8650 8795 8940 9085 9230
## [25069] 9375 9520 9665 9810 9955 10100 10245 10390 10535 10680 10825 10970
## [25081] 11115 11260 11405 11550 11695 11840 11985 12130 12275 12420 12565 12710
## [25093] 12855 13000 13145 13290 13435 13580 13725 13870 14015 14160 14305 14450
## [25105] 14595 14740 14885 15030 15175 15320 15465 15610 15755 15900 16045 16190
## [25117] 16335 16480 16625 16770 16915 17060 17205 17350 17495 17640 17785 17930
## [25129] 18075 18220 18365 18510 18655 18800 18945 19090 19235 19380 19525 19670
## [25141] 19815 19960 20105 20250 20395 20540 20685 20830 20975 21120 21265 21410
## [25153] 21555 21700 21845 21990 22135 22280 22425 22570 22715 22860 23005 23150
## [25165] 23295 23440 23585 23730 23875 24020 24165 24310 24455 24600 24745 24890
## [25177] 25035 25180 25325 25470 25615 25760 25905 26050 26195 26340 26485 26630
## [25189] 26775 26920 27065 27210 27355 27500 27645 27790 27935 28080 28225 28370
## [25201] 28515 28660 28805 28950 29095 29240 29385 29530 29675 29820 29965 30110
## [25213] 30255 30400 30545 30690 30835 30980 31125 31270 31415 31560 31705 31850
## [25225] 31995 32140 32285 32430 32575 32720 32865 33010 33155 33300 33445 33590
## [25237] 33735 33880 34025 34170 34315 34460 34605 34750 34895 35040 35185 35330
## [25249] 35475 35620 35765 35910 36055 36200 36345 36490 36635 36780 36925 37070
## [25261] 37215 37360 37505 37650 37795 37940 38085 38230 38375 38520 96 241
## [25273] 386 531 676 821 966 1111 1256 1401 1546 1691 1836 1981
## [25285] 2126 2271 2416 2561 2706 2851 2996 3141 3286 3431 3576 3721
## [25297] 3866 4011 4156 4301 4446 4591 4736 4881 5026 5171 5316 5461
## [25309] 5606 5751 5896 6041 6186 6331 6476 6621 6766 6911 7056 7201
## [25321] 7346 7491 7636 7781 7926 8071 8216 8361 8506 8651 8796 8941
## [25333] 9086 9231 9376 9521 9666 9811 9956 10101 10246 10391 10536 10681
## [25345] 10826 10971 11116 11261 11406 11551 11696 11841 11986 12131 12276 12421
## [25357] 12566 12711 12856 13001 13146 13291 13436 13581 13726 13871 14016 14161
## [25369] 14306 14451 14596 14741 14886 15031 15176 15321 15466 15611 15756 15901
## [25381] 16046 16191 16336 16481 16626 16771 16916 17061 17206 17351 17496 17641
## [25393] 17786 17931 18076 18221 18366 18511 18656 18801 18946 19091 19236 19381
## [25405] 19526 19671 19816 19961 20106 20251 20396 20541 20686 20831 20976 21121
## [25417] 21266 21411 21556 21701 21846 21991 22136 22281 22426 22571 22716 22861
## [25429] 23006 23151 23296 23441 23586 23731 23876 24021 24166 24311 24456 24601
## [25441] 24746 24891 25036 25181 25326 25471 25616 25761 25906 26051 26196 26341
## [25453] 26486 26631 26776 26921 27066 27211 27356 27501 27646 27791 27936 28081
## [25465] 28226 28371 28516 28661 28806 28951 29096 29241 29386 29531 29676 29821
## [25477] 29966 30111 30256 30401 30546 30691 30836 30981 31126 31271 31416 31561
## [25489] 31706 31851 31996 32141 32286 32431 32576 32721 32866 33011 33156 33301
## [25501] 33446 33591 33736 33881 34026 34171 34316 34461 34606 34751 34896 35041
## [25513] 35186 35331 35476 35621 35766 35911 36056 36201 36346 36491 36636 36781
## [25525] 36926 37071 37216 37361 37506 37651 37796 37941 38086 38231 38376 38521
## [25537] 97 242 387 532 677 822 967 1112 1257 1402 1547 1692
## [25549] 1837 1982 2127 2272 2417 2562 2707 2852 2997 3142 3287 3432
## [25561] 3577 3722 3867 4012 4157 4302 4447 4592 4737 4882 5027 5172
## [25573] 5317 5462 5607 5752 5897 6042 6187 6332 6477 6622 6767 6912
## [25585] 7057 7202 7347 7492 7637 7782 7927 8072 8217 8362 8507 8652
## [25597] 8797 8942 9087 9232 9377 9522 9667 9812 9957 10102 10247 10392
## [25609] 10537 10682 10827 10972 11117 11262 11407 11552 11697 11842 11987 12132
## [25621] 12277 12422 12567 12712 12857 13002 13147 13292 13437 13582 13727 13872
## [25633] 14017 14162 14307 14452 14597 14742 14887 15032 15177 15322 15467 15612
## [25645] 15757 15902 16047 16192 16337 16482 16627 16772 16917 17062 17207 17352
## [25657] 17497 17642 17787 17932 18077 18222 18367 18512 18657 18802 18947 19092
## [25669] 19237 19382 19527 19672 19817 19962 20107 20252 20397 20542 20687 20832
## [25681] 20977 21122 21267 21412 21557 21702 21847 21992 22137 22282 22427 22572
## [25693] 22717 22862 23007 23152 23297 23442 23587 23732 23877 24022 24167 24312
## [25705] 24457 24602 24747 24892 25037 25182 25327 25472 25617 25762 25907 26052
## [25717] 26197 26342 26487 26632 26777 26922 27067 27212 27357 27502 27647 27792
## [25729] 27937 28082 28227 28372 28517 28662 28807 28952 29097 29242 29387 29532
## [25741] 29677 29822 29967 30112 30257 30402 30547 30692 30837 30982 31127 31272
## [25753] 31417 31562 31707 31852 31997 32142 32287 32432 32577 32722 32867 33012
## [25765] 33157 33302 33447 33592 33737 33882 34027 34172 34317 34462 34607 34752
## [25777] 34897 35042 35187 35332 35477 35622 35767 35912 36057 36202 36347 36492
## [25789] 36637 36782 36927 37072 37217 37362 37507 37652 37797 37942 38087 38232
## [25801] 38377 38522 98 243 388 533 678 823 968 1113 1258 1403
## [25813] 1548 1693 1838 1983 2128 2273 2418 2563 2708 2853 2998 3143
## [25825] 3288 3433 3578 3723 3868 4013 4158 4303 4448 4593 4738 4883
## [25837] 5028 5173 5318 5463 5608 5753 5898 6043 6188 6333 6478 6623
## [25849] 6768 6913 7058 7203 7348 7493 7638 7783 7928 8073 8218 8363
## [25861] 8508 8653 8798 8943 9088 9233 9378 9523 9668 9813 9958 10103
## [25873] 10248 10393 10538 10683 10828 10973 11118 11263 11408 11553 11698 11843
## [25885] 11988 12133 12278 12423 12568 12713 12858 13003 13148 13293 13438 13583
## [25897] 13728 13873 14018 14163 14308 14453 14598 14743 14888 15033 15178 15323
## [25909] 15468 15613 15758 15903 16048 16193 16338 16483 16628 16773 16918 17063
## [25921] 17208 17353 17498 17643 17788 17933 18078 18223 18368 18513 18658 18803
## [25933] 18948 19093 19238 19383 19528 19673 19818 19963 20108 20253 20398 20543
## [25945] 20688 20833 20978 21123 21268 21413 21558 21703 21848 21993 22138 22283
## [25957] 22428 22573 22718 22863 23008 23153 23298 23443 23588 23733 23878 24023
## [25969] 24168 24313 24458 24603 24748 24893 25038 25183 25328 25473 25618 25763
## [25981] 25908 26053 26198 26343 26488 26633 26778 26923 27068 27213 27358 27503
## [25993] 27648 27793 27938 28083 28228 28373 28518 28663 28808 28953 29098 29243
## [26005] 29388 29533 29678 29823 29968 30113 30258 30403 30548 30693 30838 30983
## [26017] 31128 31273 31418 31563 31708 31853 31998 32143 32288 32433 32578 32723
## [26029] 32868 33013 33158 33303 33448 33593 33738 33883 34028 34173 34318 34463
## [26041] 34608 34753 34898 35043 35188 35333 35478 35623 35768 35913 36058 36203
## [26053] 36348 36493 36638 36783 36928 37073 37218 37363 37508 37653 37798 37943
## [26065] 38088 38233 38378 38523 99 244 389 534 679 824 969 1114
## [26077] 1259 1404 1549 1694 1839 1984 2129 2274 2419 2564 2709 2854
## [26089] 2999 3144 3289 3434 3579 3724 3869 4014 4159 4304 4449 4594
## [26101] 4739 4884 5029 5174 5319 5464 5609 5754 5899 6044 6189 6334
## [26113] 6479 6624 6769 6914 7059 7204 7349 7494 7639 7784 7929 8074
## [26125] 8219 8364 8509 8654 8799 8944 9089 9234 9379 9524 9669 9814
## [26137] 9959 10104 10249 10394 10539 10684 10829 10974 11119 11264 11409 11554
## [26149] 11699 11844 11989 12134 12279 12424 12569 12714 12859 13004 13149 13294
## [26161] 13439 13584 13729 13874 14019 14164 14309 14454 14599 14744 14889 15034
## [26173] 15179 15324 15469 15614 15759 15904 16049 16194 16339 16484 16629 16774
## [26185] 16919 17064 17209 17354 17499 17644 17789 17934 18079 18224 18369 18514
## [26197] 18659 18804 18949 19094 19239 19384 19529 19674 19819 19964 20109 20254
## [26209] 20399 20544 20689 20834 20979 21124 21269 21414 21559 21704 21849 21994
## [26221] 22139 22284 22429 22574 22719 22864 23009 23154 23299 23444 23589 23734
## [26233] 23879 24024 24169 24314 24459 24604 24749 24894 25039 25184 25329 25474
## [26245] 25619 25764 25909 26054 26199 26344 26489 26634 26779 26924 27069 27214
## [26257] 27359 27504 27649 27794 27939 28084 28229 28374 28519 28664 28809 28954
## [26269] 29099 29244 29389 29534 29679 29824 29969 30114 30259 30404 30549 30694
## [26281] 30839 30984 31129 31274 31419 31564 31709 31854 31999 32144 32289 32434
## [26293] 32579 32724 32869 33014 33159 33304 33449 33594 33739 33884 34029 34174
## [26305] 34319 34464 34609 34754 34899 35044 35189 35334 35479 35624 35769 35914
## [26317] 36059 36204 36349 36494 36639 36784 36929 37074 37219 37364 37509 37654
## [26329] 37799 37944 38089 38234 38379 38524 100 245 390 535 680 825
## [26341] 970 1115 1260 1405 1550 1695 1840 1985 2130 2275 2420 2565
## [26353] 2710 2855 3000 3145 3290 3435 3580 3725 3870 4015 4160 4305
## [26365] 4450 4595 4740 4885 5030 5175 5320 5465 5610 5755 5900 6045
## [26377] 6190 6335 6480 6625 6770 6915 7060 7205 7350 7495 7640 7785
## [26389] 7930 8075 8220 8365 8510 8655 8800 8945 9090 9235 9380 9525
## [26401] 9670 9815 9960 10105 10250 10395 10540 10685 10830 10975 11120 11265
## [26413] 11410 11555 11700 11845 11990 12135 12280 12425 12570 12715 12860 13005
## [26425] 13150 13295 13440 13585 13730 13875 14020 14165 14310 14455 14600 14745
## [26437] 14890 15035 15180 15325 15470 15615 15760 15905 16050 16195 16340 16485
## [26449] 16630 16775 16920 17065 17210 17355 17500 17645 17790 17935 18080 18225
## [26461] 18370 18515 18660 18805 18950 19095 19240 19385 19530 19675 19820 19965
## [26473] 20110 20255 20400 20545 20690 20835 20980 21125 21270 21415 21560 21705
## [26485] 21850 21995 22140 22285 22430 22575 22720 22865 23010 23155 23300 23445
## [26497] 23590 23735 23880 24025 24170 24315 24460 24605 24750 24895 25040 25185
## [26509] 25330 25475 25620 25765 25910 26055 26200 26345 26490 26635 26780 26925
## [26521] 27070 27215 27360 27505 27650 27795 27940 28085 28230 28375 28520 28665
## [26533] 28810 28955 29100 29245 29390 29535 29680 29825 29970 30115 30260 30405
## [26545] 30550 30695 30840 30985 31130 31275 31420 31565 31710 31855 32000 32145
## [26557] 32290 32435 32580 32725 32870 33015 33160 33305 33450 33595 33740 33885
## [26569] 34030 34175 34320 34465 34610 34755 34900 35045 35190 35335 35480 35625
## [26581] 35770 35915 36060 36205 36350 36495 36640 36785 36930 37075 37220 37365
## [26593] 37510 37655 37800 37945 38090 38235 38380 38525 101 246 391 536
## [26605] 681 826 971 1116 1261 1406 1551 1696 1841 1986 2131 2276
## [26617] 2421 2566 2711 2856 3001 3146 3291 3436 3581 3726 3871 4016
## [26629] 4161 4306 4451 4596 4741 4886 5031 5176 5321 5466 5611 5756
## [26641] 5901 6046 6191 6336 6481 6626 6771 6916 7061 7206 7351 7496
## [26653] 7641 7786 7931 8076 8221 8366 8511 8656 8801 8946 9091 9236
## [26665] 9381 9526 9671 9816 9961 10106 10251 10396 10541 10686 10831 10976
## [26677] 11121 11266 11411 11556 11701 11846 11991 12136 12281 12426 12571 12716
## [26689] 12861 13006 13151 13296 13441 13586 13731 13876 14021 14166 14311 14456
## [26701] 14601 14746 14891 15036 15181 15326 15471 15616 15761 15906 16051 16196
## [26713] 16341 16486 16631 16776 16921 17066 17211 17356 17501 17646 17791 17936
## [26725] 18081 18226 18371 18516 18661 18806 18951 19096 19241 19386 19531 19676
## [26737] 19821 19966 20111 20256 20401 20546 20691 20836 20981 21126 21271 21416
## [26749] 21561 21706 21851 21996 22141 22286 22431 22576 22721 22866 23011 23156
## [26761] 23301 23446 23591 23736 23881 24026 24171 24316 24461 24606 24751 24896
## [26773] 25041 25186 25331 25476 25621 25766 25911 26056 26201 26346 26491 26636
## [26785] 26781 26926 27071 27216 27361 27506 27651 27796 27941 28086 28231 28376
## [26797] 28521 28666 28811 28956 29101 29246 29391 29536 29681 29826 29971 30116
## [26809] 30261 30406 30551 30696 30841 30986 31131 31276 31421 31566 31711 31856
## [26821] 32001 32146 32291 32436 32581 32726 32871 33016 33161 33306 33451 33596
## [26833] 33741 33886 34031 34176 34321 34466 34611 34756 34901 35046 35191 35336
## [26845] 35481 35626 35771 35916 36061 36206 36351 36496 36641 36786 36931 37076
## [26857] 37221 37366 37511 37656 37801 37946 38091 38236 38381 38526 102 247
## [26869] 392 537 682 827 972 1117 1262 1407 1552 1697 1842 1987
## [26881] 2132 2277 2422 2567 2712 2857 3002 3147 3292 3437 3582 3727
## [26893] 3872 4017 4162 4307 4452 4597 4742 4887 5032 5177 5322 5467
## [26905] 5612 5757 5902 6047 6192 6337 6482 6627 6772 6917 7062 7207
## [26917] 7352 7497 7642 7787 7932 8077 8222 8367 8512 8657 8802 8947
## [26929] 9092 9237 9382 9527 9672 9817 9962 10107 10252 10397 10542 10687
## [26941] 10832 10977 11122 11267 11412 11557 11702 11847 11992 12137 12282 12427
## [26953] 12572 12717 12862 13007 13152 13297 13442 13587 13732 13877 14022 14167
## [26965] 14312 14457 14602 14747 14892 15037 15182 15327 15472 15617 15762 15907
## [26977] 16052 16197 16342 16487 16632 16777 16922 17067 17212 17357 17502 17647
## [26989] 17792 17937 18082 18227 18372 18517 18662 18807 18952 19097 19242 19387
## [27001] 19532 19677 19822 19967 20112 20257 20402 20547 20692 20837 20982 21127
## [27013] 21272 21417 21562 21707 21852 21997 22142 22287 22432 22577 22722 22867
## [27025] 23012 23157 23302 23447 23592 23737 23882 24027 24172 24317 24462 24607
## [27037] 24752 24897 25042 25187 25332 25477 25622 25767 25912 26057 26202 26347
## [27049] 26492 26637 26782 26927 27072 27217 27362 27507 27652 27797 27942 28087
## [27061] 28232 28377 28522 28667 28812 28957 29102 29247 29392 29537 29682 29827
## [27073] 29972 30117 30262 30407 30552 30697 30842 30987 31132 31277 31422 31567
## [27085] 31712 31857 32002 32147 32292 32437 32582 32727 32872 33017 33162 33307
## [27097] 33452 33597 33742 33887 34032 34177 34322 34467 34612 34757 34902 35047
## [27109] 35192 35337 35482 35627 35772 35917 36062 36207 36352 36497 36642 36787
## [27121] 36932 37077 37222 37367 37512 37657 37802 37947 38092 38237 38382 38527
## [27133] 103 248 393 538 683 828 973 1118 1263 1408 1553 1698
## [27145] 1843 1988 2133 2278 2423 2568 2713 2858 3003 3148 3293 3438
## [27157] 3583 3728 3873 4018 4163 4308 4453 4598 4743 4888 5033 5178
## [27169] 5323 5468 5613 5758 5903 6048 6193 6338 6483 6628 6773 6918
## [27181] 7063 7208 7353 7498 7643 7788 7933 8078 8223 8368 8513 8658
## [27193] 8803 8948 9093 9238 9383 9528 9673 9818 9963 10108 10253 10398
## [27205] 10543 10688 10833 10978 11123 11268 11413 11558 11703 11848 11993 12138
## [27217] 12283 12428 12573 12718 12863 13008 13153 13298 13443 13588 13733 13878
## [27229] 14023 14168 14313 14458 14603 14748 14893 15038 15183 15328 15473 15618
## [27241] 15763 15908 16053 16198 16343 16488 16633 16778 16923 17068 17213 17358
## [27253] 17503 17648 17793 17938 18083 18228 18373 18518 18663 18808 18953 19098
## [27265] 19243 19388 19533 19678 19823 19968 20113 20258 20403 20548 20693 20838
## [27277] 20983 21128 21273 21418 21563 21708 21853 21998 22143 22288 22433 22578
## [27289] 22723 22868 23013 23158 23303 23448 23593 23738 23883 24028 24173 24318
## [27301] 24463 24608 24753 24898 25043 25188 25333 25478 25623 25768 25913 26058
## [27313] 26203 26348 26493 26638 26783 26928 27073 27218 27363 27508 27653 27798
## [27325] 27943 28088 28233 28378 28523 28668 28813 28958 29103 29248 29393 29538
## [27337] 29683 29828 29973 30118 30263 30408 30553 30698 30843 30988 31133 31278
## [27349] 31423 31568 31713 31858 32003 32148 32293 32438 32583 32728 32873 33018
## [27361] 33163 33308 33453 33598 33743 33888 34033 34178 34323 34468 34613 34758
## [27373] 34903 35048 35193 35338 35483 35628 35773 35918 36063 36208 36353 36498
## [27385] 36643 36788 36933 37078 37223 37368 37513 37658 37803 37948 38093 38238
## [27397] 38383 38528 104 249 394 539 684 829 974 1119 1264 1409
## [27409] 1554 1699 1844 1989 2134 2279 2424 2569 2714 2859 3004 3149
## [27421] 3294 3439 3584 3729 3874 4019 4164 4309 4454 4599 4744 4889
## [27433] 5034 5179 5324 5469 5614 5759 5904 6049 6194 6339 6484 6629
## [27445] 6774 6919 7064 7209 7354 7499 7644 7789 7934 8079 8224 8369
## [27457] 8514 8659 8804 8949 9094 9239 9384 9529 9674 9819 9964 10109
## [27469] 10254 10399 10544 10689 10834 10979 11124 11269 11414 11559 11704 11849
## [27481] 11994 12139 12284 12429 12574 12719 12864 13009 13154 13299 13444 13589
## [27493] 13734 13879 14024 14169 14314 14459 14604 14749 14894 15039 15184 15329
## [27505] 15474 15619 15764 15909 16054 16199 16344 16489 16634 16779 16924 17069
## [27517] 17214 17359 17504 17649 17794 17939 18084 18229 18374 18519 18664 18809
## [27529] 18954 19099 19244 19389 19534 19679 19824 19969 20114 20259 20404 20549
## [27541] 20694 20839 20984 21129 21274 21419 21564 21709 21854 21999 22144 22289
## [27553] 22434 22579 22724 22869 23014 23159 23304 23449 23594 23739 23884 24029
## [27565] 24174 24319 24464 24609 24754 24899 25044 25189 25334 25479 25624 25769
## [27577] 25914 26059 26204 26349 26494 26639 26784 26929 27074 27219 27364 27509
## [27589] 27654 27799 27944 28089 28234 28379 28524 28669 28814 28959 29104 29249
## [27601] 29394 29539 29684 29829 29974 30119 30264 30409 30554 30699 30844 30989
## [27613] 31134 31279 31424 31569 31714 31859 32004 32149 32294 32439 32584 32729
## [27625] 32874 33019 33164 33309 33454 33599 33744 33889 34034 34179 34324 34469
## [27637] 34614 34759 34904 35049 35194 35339 35484 35629 35774 35919 36064 36209
## [27649] 36354 36499 36644 36789 36934 37079 37224 37369 37514 37659 37804 37949
## [27661] 38094 38239 38384 38529 105 250 395 540 685 830 975 1120
## [27673] 1265 1410 1555 1700 1845 1990 2135 2280 2425 2570 2715 2860
## [27685] 3005 3150 3295 3440 3585 3730 3875 4020 4165 4310 4455 4600
## [27697] 4745 4890 5035 5180 5325 5470 5615 5760 5905 6050 6195 6340
## [27709] 6485 6630 6775 6920 7065 7210 7355 7500 7645 7790 7935 8080
## [27721] 8225 8370 8515 8660 8805 8950 9095 9240 9385 9530 9675 9820
## [27733] 9965 10110 10255 10400 10545 10690 10835 10980 11125 11270 11415 11560
## [27745] 11705 11850 11995 12140 12285 12430 12575 12720 12865 13010 13155 13300
## [27757] 13445 13590 13735 13880 14025 14170 14315 14460 14605 14750 14895 15040
## [27769] 15185 15330 15475 15620 15765 15910 16055 16200 16345 16490 16635 16780
## [27781] 16925 17070 17215 17360 17505 17650 17795 17940 18085 18230 18375 18520
## [27793] 18665 18810 18955 19100 19245 19390 19535 19680 19825 19970 20115 20260
## [27805] 20405 20550 20695 20840 20985 21130 21275 21420 21565 21710 21855 22000
## [27817] 22145 22290 22435 22580 22725 22870 23015 23160 23305 23450 23595 23740
## [27829] 23885 24030 24175 24320 24465 24610 24755 24900 25045 25190 25335 25480
## [27841] 25625 25770 25915 26060 26205 26350 26495 26640 26785 26930 27075 27220
## [27853] 27365 27510 27655 27800 27945 28090 28235 28380 28525 28670 28815 28960
## [27865] 29105 29250 29395 29540 29685 29830 29975 30120 30265 30410 30555 30700
## [27877] 30845 30990 31135 31280 31425 31570 31715 31860 32005 32150 32295 32440
## [27889] 32585 32730 32875 33020 33165 33310 33455 33600 33745 33890 34035 34180
## [27901] 34325 34470 34615 34760 34905 35050 35195 35340 35485 35630 35775 35920
## [27913] 36065 36210 36355 36500 36645 36790 36935 37080 37225 37370 37515 37660
## [27925] 37805 37950 38095 38240 38385 38530 106 251 396 541 686 831
## [27937] 976 1121 1266 1411 1556 1701 1846 1991 2136 2281 2426 2571
## [27949] 2716 2861 3006 3151 3296 3441 3586 3731 3876 4021 4166 4311
## [27961] 4456 4601 4746 4891 5036 5181 5326 5471 5616 5761 5906 6051
## [27973] 6196 6341 6486 6631 6776 6921 7066 7211 7356 7501 7646 7791
## [27985] 7936 8081 8226 8371 8516 8661 8806 8951 9096 9241 9386 9531
## [27997] 9676 9821 9966 10111 10256 10401 10546 10691 10836 10981 11126 11271
## [28009] 11416 11561 11706 11851 11996 12141 12286 12431 12576 12721 12866 13011
## [28021] 13156 13301 13446 13591 13736 13881 14026 14171 14316 14461 14606 14751
## [28033] 14896 15041 15186 15331 15476 15621 15766 15911 16056 16201 16346 16491
## [28045] 16636 16781 16926 17071 17216 17361 17506 17651 17796 17941 18086 18231
## [28057] 18376 18521 18666 18811 18956 19101 19246 19391 19536 19681 19826 19971
## [28069] 20116 20261 20406 20551 20696 20841 20986 21131 21276 21421 21566 21711
## [28081] 21856 22001 22146 22291 22436 22581 22726 22871 23016 23161 23306 23451
## [28093] 23596 23741 23886 24031 24176 24321 24466 24611 24756 24901 25046 25191
## [28105] 25336 25481 25626 25771 25916 26061 26206 26351 26496 26641 26786 26931
## [28117] 27076 27221 27366 27511 27656 27801 27946 28091 28236 28381 28526 28671
## [28129] 28816 28961 29106 29251 29396 29541 29686 29831 29976 30121 30266 30411
## [28141] 30556 30701 30846 30991 31136 31281 31426 31571 31716 31861 32006 32151
## [28153] 32296 32441 32586 32731 32876 33021 33166 33311 33456 33601 33746 33891
## [28165] 34036 34181 34326 34471 34616 34761 34906 35051 35196 35341 35486 35631
## [28177] 35776 35921 36066 36211 36356 36501 36646 36791 36936 37081 37226 37371
## [28189] 37516 37661 37806 37951 38096 38241 38386 38531 107 252 397 542
## [28201] 687 832 977 1122 1267 1412 1557 1702 1847 1992 2137 2282
## [28213] 2427 2572 2717 2862 3007 3152 3297 3442 3587 3732 3877 4022
## [28225] 4167 4312 4457 4602 4747 4892 5037 5182 5327 5472 5617 5762
## [28237] 5907 6052 6197 6342 6487 6632 6777 6922 7067 7212 7357 7502
## [28249] 7647 7792 7937 8082 8227 8372 8517 8662 8807 8952 9097 9242
## [28261] 9387 9532 9677 9822 9967 10112 10257 10402 10547 10692 10837 10982
## [28273] 11127 11272 11417 11562 11707 11852 11997 12142 12287 12432 12577 12722
## [28285] 12867 13012 13157 13302 13447 13592 13737 13882 14027 14172 14317 14462
## [28297] 14607 14752 14897 15042 15187 15332 15477 15622 15767 15912 16057 16202
## [28309] 16347 16492 16637 16782 16927 17072 17217 17362 17507 17652 17797 17942
## [28321] 18087 18232 18377 18522 18667 18812 18957 19102 19247 19392 19537 19682
## [28333] 19827 19972 20117 20262 20407 20552 20697 20842 20987 21132 21277 21422
## [28345] 21567 21712 21857 22002 22147 22292 22437 22582 22727 22872 23017 23162
## [28357] 23307 23452 23597 23742 23887 24032 24177 24322 24467 24612 24757 24902
## [28369] 25047 25192 25337 25482 25627 25772 25917 26062 26207 26352 26497 26642
## [28381] 26787 26932 27077 27222 27367 27512 27657 27802 27947 28092 28237 28382
## [28393] 28527 28672 28817 28962 29107 29252 29397 29542 29687 29832 29977 30122
## [28405] 30267 30412 30557 30702 30847 30992 31137 31282 31427 31572 31717 31862
## [28417] 32007 32152 32297 32442 32587 32732 32877 33022 33167 33312 33457 33602
## [28429] 33747 33892 34037 34182 34327 34472 34617 34762 34907 35052 35197 35342
## [28441] 35487 35632 35777 35922 36067 36212 36357 36502 36647 36792 36937 37082
## [28453] 37227 37372 37517 37662 37807 37952 38097 38242 38387 38532 108 253
## [28465] 398 543 688 833 978 1123 1268 1413 1558 1703 1848 1993
## [28477] 2138 2283 2428 2573 2718 2863 3008 3153 3298 3443 3588 3733
## [28489] 3878 4023 4168 4313 4458 4603 4748 4893 5038 5183 5328 5473
## [28501] 5618 5763 5908 6053 6198 6343 6488 6633 6778 6923 7068 7213
## [28513] 7358 7503 7648 7793 7938 8083 8228 8373 8518 8663 8808 8953
## [28525] 9098 9243 9388 9533 9678 9823 9968 10113 10258 10403 10548 10693
## [28537] 10838 10983 11128 11273 11418 11563 11708 11853 11998 12143 12288 12433
## [28549] 12578 12723 12868 13013 13158 13303 13448 13593 13738 13883 14028 14173
## [28561] 14318 14463 14608 14753 14898 15043 15188 15333 15478 15623 15768 15913
## [28573] 16058 16203 16348 16493 16638 16783 16928 17073 17218 17363 17508 17653
## [28585] 17798 17943 18088 18233 18378 18523 18668 18813 18958 19103 19248 19393
## [28597] 19538 19683 19828 19973 20118 20263 20408 20553 20698 20843 20988 21133
## [28609] 21278 21423 21568 21713 21858 22003 22148 22293 22438 22583 22728 22873
## [28621] 23018 23163 23308 23453 23598 23743 23888 24033 24178 24323 24468 24613
## [28633] 24758 24903 25048 25193 25338 25483 25628 25773 25918 26063 26208 26353
## [28645] 26498 26643 26788 26933 27078 27223 27368 27513 27658 27803 27948 28093
## [28657] 28238 28383 28528 28673 28818 28963 29108 29253 29398 29543 29688 29833
## [28669] 29978 30123 30268 30413 30558 30703 30848 30993 31138 31283 31428 31573
## [28681] 31718 31863 32008 32153 32298 32443 32588 32733 32878 33023 33168 33313
## [28693] 33458 33603 33748 33893 34038 34183 34328 34473 34618 34763 34908 35053
## [28705] 35198 35343 35488 35633 35778 35923 36068 36213 36358 36503 36648 36793
## [28717] 36938 37083 37228 37373 37518 37663 37808 37953 38098 38243 38388 38533
## [28729] 109 254 399 544 689 834 979 1124 1269 1414 1559 1704
## [28741] 1849 1994 2139 2284 2429 2574 2719 2864 3009 3154 3299 3444
## [28753] 3589 3734 3879 4024 4169 4314 4459 4604 4749 4894 5039 5184
## [28765] 5329 5474 5619 5764 5909 6054 6199 6344 6489 6634 6779 6924
## [28777] 7069 7214 7359 7504 7649 7794 7939 8084 8229 8374 8519 8664
## [28789] 8809 8954 9099 9244 9389 9534 9679 9824 9969 10114 10259 10404
## [28801] 10549 10694 10839 10984 11129 11274 11419 11564 11709 11854 11999 12144
## [28813] 12289 12434 12579 12724 12869 13014 13159 13304 13449 13594 13739 13884
## [28825] 14029 14174 14319 14464 14609 14754 14899 15044 15189 15334 15479 15624
## [28837] 15769 15914 16059 16204 16349 16494 16639 16784 16929 17074 17219 17364
## [28849] 17509 17654 17799 17944 18089 18234 18379 18524 18669 18814 18959 19104
## [28861] 19249 19394 19539 19684 19829 19974 20119 20264 20409 20554 20699 20844
## [28873] 20989 21134 21279 21424 21569 21714 21859 22004 22149 22294 22439 22584
## [28885] 22729 22874 23019 23164 23309 23454 23599 23744 23889 24034 24179 24324
## [28897] 24469 24614 24759 24904 25049 25194 25339 25484 25629 25774 25919 26064
## [28909] 26209 26354 26499 26644 26789 26934 27079 27224 27369 27514 27659 27804
## [28921] 27949 28094 28239 28384 28529 28674 28819 28964 29109 29254 29399 29544
## [28933] 29689 29834 29979 30124 30269 30414 30559 30704 30849 30994 31139 31284
## [28945] 31429 31574 31719 31864 32009 32154 32299 32444 32589 32734 32879 33024
## [28957] 33169 33314 33459 33604 33749 33894 34039 34184 34329 34474 34619 34764
## [28969] 34909 35054 35199 35344 35489 35634 35779 35924 36069 36214 36359 36504
## [28981] 36649 36794 36939 37084 37229 37374 37519 37664 37809 37954 38099 38244
## [28993] 38389 38534 110 255 400 545 690 835 980 1125 1270 1415
## [29005] 1560 1705 1850 1995 2140 2285 2430 2575 2720 2865 3010 3155
## [29017] 3300 3445 3590 3735 3880 4025 4170 4315 4460 4605 4750 4895
## [29029] 5040 5185 5330 5475 5620 5765 5910 6055 6200 6345 6490 6635
## [29041] 6780 6925 7070 7215 7360 7505 7650 7795 7940 8085 8230 8375
## [29053] 8520 8665 8810 8955 9100 9245 9390 9535 9680 9825 9970 10115
## [29065] 10260 10405 10550 10695 10840 10985 11130 11275 11420 11565 11710 11855
## [29077] 12000 12145 12290 12435 12580 12725 12870 13015 13160 13305 13450 13595
## [29089] 13740 13885 14030 14175 14320 14465 14610 14755 14900 15045 15190 15335
## [29101] 15480 15625 15770 15915 16060 16205 16350 16495 16640 16785 16930 17075
## [29113] 17220 17365 17510 17655 17800 17945 18090 18235 18380 18525 18670 18815
## [29125] 18960 19105 19250 19395 19540 19685 19830 19975 20120 20265 20410 20555
## [29137] 20700 20845 20990 21135 21280 21425 21570 21715 21860 22005 22150 22295
## [29149] 22440 22585 22730 22875 23020 23165 23310 23455 23600 23745 23890 24035
## [29161] 24180 24325 24470 24615 24760 24905 25050 25195 25340 25485 25630 25775
## [29173] 25920 26065 26210 26355 26500 26645 26790 26935 27080 27225 27370 27515
## [29185] 27660 27805 27950 28095 28240 28385 28530 28675 28820 28965 29110 29255
## [29197] 29400 29545 29690 29835 29980 30125 30270 30415 30560 30705 30850 30995
## [29209] 31140 31285 31430 31575 31720 31865 32010 32155 32300 32445 32590 32735
## [29221] 32880 33025 33170 33315 33460 33605 33750 33895 34040 34185 34330 34475
## [29233] 34620 34765 34910 35055 35200 35345 35490 35635 35780 35925 36070 36215
## [29245] 36360 36505 36650 36795 36940 37085 37230 37375 37520 37665 37810 37955
## [29257] 38100 38245 38390 38535 111 256 401 546 691 836 981 1126
## [29269] 1271 1416 1561 1706 1851 1996 2141 2286 2431 2576 2721 2866
## [29281] 3011 3156 3301 3446 3591 3736 3881 4026 4171 4316 4461 4606
## [29293] 4751 4896 5041 5186 5331 5476 5621 5766 5911 6056 6201 6346
## [29305] 6491 6636 6781 6926 7071 7216 7361 7506 7651 7796 7941 8086
## [29317] 8231 8376 8521 8666 8811 8956 9101 9246 9391 9536 9681 9826
## [29329] 9971 10116 10261 10406 10551 10696 10841 10986 11131 11276 11421 11566
## [29341] 11711 11856 12001 12146 12291 12436 12581 12726 12871 13016 13161 13306
## [29353] 13451 13596 13741 13886 14031 14176 14321 14466 14611 14756 14901 15046
## [29365] 15191 15336 15481 15626 15771 15916 16061 16206 16351 16496 16641 16786
## [29377] 16931 17076 17221 17366 17511 17656 17801 17946 18091 18236 18381 18526
## [29389] 18671 18816 18961 19106 19251 19396 19541 19686 19831 19976 20121 20266
## [29401] 20411 20556 20701 20846 20991 21136 21281 21426 21571 21716 21861 22006
## [29413] 22151 22296 22441 22586 22731 22876 23021 23166 23311 23456 23601 23746
## [29425] 23891 24036 24181 24326 24471 24616 24761 24906 25051 25196 25341 25486
## [29437] 25631 25776 25921 26066 26211 26356 26501 26646 26791 26936 27081 27226
## [29449] 27371 27516 27661 27806 27951 28096 28241 28386 28531 28676 28821 28966
## [29461] 29111 29256 29401 29546 29691 29836 29981 30126 30271 30416 30561 30706
## [29473] 30851 30996 31141 31286 31431 31576 31721 31866 32011 32156 32301 32446
## [29485] 32591 32736 32881 33026 33171 33316 33461 33606 33751 33896 34041 34186
## [29497] 34331 34476 34621 34766 34911 35056 35201 35346 35491 35636 35781 35926
## [29509] 36071 36216 36361 36506 36651 36796 36941 37086 37231 37376 37521 37666
## [29521] 37811 37956 38101 38246 38391 38536 112 257 402 547 692 837
## [29533] 982 1127 1272 1417 1562 1707 1852 1997 2142 2287 2432 2577
## [29545] 2722 2867 3012 3157 3302 3447 3592 3737 3882 4027 4172 4317
## [29557] 4462 4607 4752 4897 5042 5187 5332 5477 5622 5767 5912 6057
## [29569] 6202 6347 6492 6637 6782 6927 7072 7217 7362 7507 7652 7797
## [29581] 7942 8087 8232 8377 8522 8667 8812 8957 9102 9247 9392 9537
## [29593] 9682 9827 9972 10117 10262 10407 10552 10697 10842 10987 11132 11277
## [29605] 11422 11567 11712 11857 12002 12147 12292 12437 12582 12727 12872 13017
## [29617] 13162 13307 13452 13597 13742 13887 14032 14177 14322 14467 14612 14757
## [29629] 14902 15047 15192 15337 15482 15627 15772 15917 16062 16207 16352 16497
## [29641] 16642 16787 16932 17077 17222 17367 17512 17657 17802 17947 18092 18237
## [29653] 18382 18527 18672 18817 18962 19107 19252 19397 19542 19687 19832 19977
## [29665] 20122 20267 20412 20557 20702 20847 20992 21137 21282 21427 21572 21717
## [29677] 21862 22007 22152 22297 22442 22587 22732 22877 23022 23167 23312 23457
## [29689] 23602 23747 23892 24037 24182 24327 24472 24617 24762 24907 25052 25197
## [29701] 25342 25487 25632 25777 25922 26067 26212 26357 26502 26647 26792 26937
## [29713] 27082 27227 27372 27517 27662 27807 27952 28097 28242 28387 28532 28677
## [29725] 28822 28967 29112 29257 29402 29547 29692 29837 29982 30127 30272 30417
## [29737] 30562 30707 30852 30997 31142 31287 31432 31577 31722 31867 32012 32157
## [29749] 32302 32447 32592 32737 32882 33027 33172 33317 33462 33607 33752 33897
## [29761] 34042 34187 34332 34477 34622 34767 34912 35057 35202 35347 35492 35637
## [29773] 35782 35927 36072 36217 36362 36507 36652 36797 36942 37087 37232 37377
## [29785] 37522 37667 37812 37957 38102 38247 38392 38537 113 258 403 548
## [29797] 693 838 983 1128 1273 1418 1563 1708 1853 1998 2143 2288
## [29809] 2433 2578 2723 2868 3013 3158 3303 3448 3593 3738 3883 4028
## [29821] 4173 4318 4463 4608 4753 4898 5043 5188 5333 5478 5623 5768
## [29833] 5913 6058 6203 6348 6493 6638 6783 6928 7073 7218 7363 7508
## [29845] 7653 7798 7943 8088 8233 8378 8523 8668 8813 8958 9103 9248
## [29857] 9393 9538 9683 9828 9973 10118 10263 10408 10553 10698 10843 10988
## [29869] 11133 11278 11423 11568 11713 11858 12003 12148 12293 12438 12583 12728
## [29881] 12873 13018 13163 13308 13453 13598 13743 13888 14033 14178 14323 14468
## [29893] 14613 14758 14903 15048 15193 15338 15483 15628 15773 15918 16063 16208
## [29905] 16353 16498 16643 16788 16933 17078 17223 17368 17513 17658 17803 17948
## [29917] 18093 18238 18383 18528 18673 18818 18963 19108 19253 19398 19543 19688
## [29929] 19833 19978 20123 20268 20413 20558 20703 20848 20993 21138 21283 21428
## [29941] 21573 21718 21863 22008 22153 22298 22443 22588 22733 22878 23023 23168
## [29953] 23313 23458 23603 23748 23893 24038 24183 24328 24473 24618 24763 24908
## [29965] 25053 25198 25343 25488 25633 25778 25923 26068 26213 26358 26503 26648
## [29977] 26793 26938 27083 27228 27373 27518 27663 27808 27953 28098 28243 28388
## [29989] 28533 28678 28823 28968 29113 29258 29403 29548 29693 29838 29983 30128
## [30001] 30273 30418 30563 30708 30853 30998 31143 31288 31433 31578 31723 31868
## [30013] 32013 32158 32303 32448 32593 32738 32883 33028 33173 33318 33463 33608
## [30025] 33753 33898 34043 34188 34333 34478 34623 34768 34913 35058 35203 35348
## [30037] 35493 35638 35783 35928 36073 36218 36363 36508 36653 36798 36943 37088
## [30049] 37233 37378 37523 37668 37813 37958 38103 38248 38393 38538 114 259
## [30061] 404 549 694 839 984 1129 1274 1419 1564 1709 1854 1999
## [30073] 2144 2289 2434 2579 2724 2869 3014 3159 3304 3449 3594 3739
## [30085] 3884 4029 4174 4319 4464 4609 4754 4899 5044 5189 5334 5479
## [30097] 5624 5769 5914 6059 6204 6349 6494 6639 6784 6929 7074 7219
## [30109] 7364 7509 7654 7799 7944 8089 8234 8379 8524 8669 8814 8959
## [30121] 9104 9249 9394 9539 9684 9829 9974 10119 10264 10409 10554 10699
## [30133] 10844 10989 11134 11279 11424 11569 11714 11859 12004 12149 12294 12439
## [30145] 12584 12729 12874 13019 13164 13309 13454 13599 13744 13889 14034 14179
## [30157] 14324 14469 14614 14759 14904 15049 15194 15339 15484 15629 15774 15919
## [30169] 16064 16209 16354 16499 16644 16789 16934 17079 17224 17369 17514 17659
## [30181] 17804 17949 18094 18239 18384 18529 18674 18819 18964 19109 19254 19399
## [30193] 19544 19689 19834 19979 20124 20269 20414 20559 20704 20849 20994 21139
## [30205] 21284 21429 21574 21719 21864 22009 22154 22299 22444 22589 22734 22879
## [30217] 23024 23169 23314 23459 23604 23749 23894 24039 24184 24329 24474 24619
## [30229] 24764 24909 25054 25199 25344 25489 25634 25779 25924 26069 26214 26359
## [30241] 26504 26649 26794 26939 27084 27229 27374 27519 27664 27809 27954 28099
## [30253] 28244 28389 28534 28679 28824 28969 29114 29259 29404 29549 29694 29839
## [30265] 29984 30129 30274 30419 30564 30709 30854 30999 31144 31289 31434 31579
## [30277] 31724 31869 32014 32159 32304 32449 32594 32739 32884 33029 33174 33319
## [30289] 33464 33609 33754 33899 34044 34189 34334 34479 34624 34769 34914 35059
## [30301] 35204 35349 35494 35639 35784 35929 36074 36219 36364 36509 36654 36799
## [30313] 36944 37089 37234 37379 37524 37669 37814 37959 38104 38249 38394 38539
## [30325] 115 260 405 550 695 840 985 1130 1275 1420 1565 1710
## [30337] 1855 2000 2145 2290 2435 2580 2725 2870 3015 3160 3305 3450
## [30349] 3595 3740 3885 4030 4175 4320 4465 4610 4755 4900 5045 5190
## [30361] 5335 5480 5625 5770 5915 6060 6205 6350 6495 6640 6785 6930
## [30373] 7075 7220 7365 7510 7655 7800 7945 8090 8235 8380 8525 8670
## [30385] 8815 8960 9105 9250 9395 9540 9685 9830 9975 10120 10265 10410
## [30397] 10555 10700 10845 10990 11135 11280 11425 11570 11715 11860 12005 12150
## [30409] 12295 12440 12585 12730 12875 13020 13165 13310 13455 13600 13745 13890
## [30421] 14035 14180 14325 14470 14615 14760 14905 15050 15195 15340 15485 15630
## [30433] 15775 15920 16065 16210 16355 16500 16645 16790 16935 17080 17225 17370
## [30445] 17515 17660 17805 17950 18095 18240 18385 18530 18675 18820 18965 19110
## [30457] 19255 19400 19545 19690 19835 19980 20125 20270 20415 20560 20705 20850
## [30469] 20995 21140 21285 21430 21575 21720 21865 22010 22155 22300 22445 22590
## [30481] 22735 22880 23025 23170 23315 23460 23605 23750 23895 24040 24185 24330
## [30493] 24475 24620 24765 24910 25055 25200 25345 25490 25635 25780 25925 26070
## [30505] 26215 26360 26505 26650 26795 26940 27085 27230 27375 27520 27665 27810
## [30517] 27955 28100 28245 28390 28535 28680 28825 28970 29115 29260 29405 29550
## [30529] 29695 29840 29985 30130 30275 30420 30565 30710 30855 31000 31145 31290
## [30541] 31435 31580 31725 31870 32015 32160 32305 32450 32595 32740 32885 33030
## [30553] 33175 33320 33465 33610 33755 33900 34045 34190 34335 34480 34625 34770
## [30565] 34915 35060 35205 35350 35495 35640 35785 35930 36075 36220 36365 36510
## [30577] 36655 36800 36945 37090 37235 37380 37525 37670 37815 37960 38105 38250
## [30589] 38395 38540 116 261 406 551 696 841 986 1131 1276 1421
## [30601] 1566 1711 1856 2001 2146 2291 2436 2581 2726 2871 3016 3161
## [30613] 3306 3451 3596 3741 3886 4031 4176 4321 4466 4611 4756 4901
## [30625] 5046 5191 5336 5481 5626 5771 5916 6061 6206 6351 6496 6641
## [30637] 6786 6931 7076 7221 7366 7511 7656 7801 7946 8091 8236 8381
## [30649] 8526 8671 8816 8961 9106 9251 9396 9541 9686 9831 9976 10121
## [30661] 10266 10411 10556 10701 10846 10991 11136 11281 11426 11571 11716 11861
## [30673] 12006 12151 12296 12441 12586 12731 12876 13021 13166 13311 13456 13601
## [30685] 13746 13891 14036 14181 14326 14471 14616 14761 14906 15051 15196 15341
## [30697] 15486 15631 15776 15921 16066 16211 16356 16501 16646 16791 16936 17081
## [30709] 17226 17371 17516 17661 17806 17951 18096 18241 18386 18531 18676 18821
## [30721] 18966 19111 19256 19401 19546 19691 19836 19981 20126 20271 20416 20561
## [30733] 20706 20851 20996 21141 21286 21431 21576 21721 21866 22011 22156 22301
## [30745] 22446 22591 22736 22881 23026 23171 23316 23461 23606 23751 23896 24041
## [30757] 24186 24331 24476 24621 24766 24911 25056 25201 25346 25491 25636 25781
## [30769] 25926 26071 26216 26361 26506 26651 26796 26941 27086 27231 27376 27521
## [30781] 27666 27811 27956 28101 28246 28391 28536 28681 28826 28971 29116 29261
## [30793] 29406 29551 29696 29841 29986 30131 30276 30421 30566 30711 30856 31001
## [30805] 31146 31291 31436 31581 31726 31871 32016 32161 32306 32451 32596 32741
## [30817] 32886 33031 33176 33321 33466 33611 33756 33901 34046 34191 34336 34481
## [30829] 34626 34771 34916 35061 35206 35351 35496 35641 35786 35931 36076 36221
## [30841] 36366 36511 36656 36801 36946 37091 37236 37381 37526 37671 37816 37961
## [30853] 38106 38251 38396 38541 117 262 407 552 697 842 987 1132
## [30865] 1277 1422 1567 1712 1857 2002 2147 2292 2437 2582 2727 2872
## [30877] 3017 3162 3307 3452 3597 3742 3887 4032 4177 4322 4467 4612
## [30889] 4757 4902 5047 5192 5337 5482 5627 5772 5917 6062 6207 6352
## [30901] 6497 6642 6787 6932 7077 7222 7367 7512 7657 7802 7947 8092
## [30913] 8237 8382 8527 8672 8817 8962 9107 9252 9397 9542 9687 9832
## [30925] 9977 10122 10267 10412 10557 10702 10847 10992 11137 11282 11427 11572
## [30937] 11717 11862 12007 12152 12297 12442 12587 12732 12877 13022 13167 13312
## [30949] 13457 13602 13747 13892 14037 14182 14327 14472 14617 14762 14907 15052
## [30961] 15197 15342 15487 15632 15777 15922 16067 16212 16357 16502 16647 16792
## [30973] 16937 17082 17227 17372 17517 17662 17807 17952 18097 18242 18387 18532
## [30985] 18677 18822 18967 19112 19257 19402 19547 19692 19837 19982 20127 20272
## [30997] 20417 20562 20707 20852 20997 21142 21287 21432 21577 21722 21867 22012
## [31009] 22157 22302 22447 22592 22737 22882 23027 23172 23317 23462 23607 23752
## [31021] 23897 24042 24187 24332 24477 24622 24767 24912 25057 25202 25347 25492
## [31033] 25637 25782 25927 26072 26217 26362 26507 26652 26797 26942 27087 27232
## [31045] 27377 27522 27667 27812 27957 28102 28247 28392 28537 28682 28827 28972
## [31057] 29117 29262 29407 29552 29697 29842 29987 30132 30277 30422 30567 30712
## [31069] 30857 31002 31147 31292 31437 31582 31727 31872 32017 32162 32307 32452
## [31081] 32597 32742 32887 33032 33177 33322 33467 33612 33757 33902 34047 34192
## [31093] 34337 34482 34627 34772 34917 35062 35207 35352 35497 35642 35787 35932
## [31105] 36077 36222 36367 36512 36657 36802 36947 37092 37237 37382 37527 37672
## [31117] 37817 37962 38107 38252 38397 38542 118 263 408 553 698 843
## [31129] 988 1133 1278 1423 1568 1713 1858 2003 2148 2293 2438 2583
## [31141] 2728 2873 3018 3163 3308 3453 3598 3743 3888 4033 4178 4323
## [31153] 4468 4613 4758 4903 5048 5193 5338 5483 5628 5773 5918 6063
## [31165] 6208 6353 6498 6643 6788 6933 7078 7223 7368 7513 7658 7803
## [31177] 7948 8093 8238 8383 8528 8673 8818 8963 9108 9253 9398 9543
## [31189] 9688 9833 9978 10123 10268 10413 10558 10703 10848 10993 11138 11283
## [31201] 11428 11573 11718 11863 12008 12153 12298 12443 12588 12733 12878 13023
## [31213] 13168 13313 13458 13603 13748 13893 14038 14183 14328 14473 14618 14763
## [31225] 14908 15053 15198 15343 15488 15633 15778 15923 16068 16213 16358 16503
## [31237] 16648 16793 16938 17083 17228 17373 17518 17663 17808 17953 18098 18243
## [31249] 18388 18533 18678 18823 18968 19113 19258 19403 19548 19693 19838 19983
## [31261] 20128 20273 20418 20563 20708 20853 20998 21143 21288 21433 21578 21723
## [31273] 21868 22013 22158 22303 22448 22593 22738 22883 23028 23173 23318 23463
## [31285] 23608 23753 23898 24043 24188 24333 24478 24623 24768 24913 25058 25203
## [31297] 25348 25493 25638 25783 25928 26073 26218 26363 26508 26653 26798 26943
## [31309] 27088 27233 27378 27523 27668 27813 27958 28103 28248 28393 28538 28683
## [31321] 28828 28973 29118 29263 29408 29553 29698 29843 29988 30133 30278 30423
## [31333] 30568 30713 30858 31003 31148 31293 31438 31583 31728 31873 32018 32163
## [31345] 32308 32453 32598 32743 32888 33033 33178 33323 33468 33613 33758 33903
## [31357] 34048 34193 34338 34483 34628 34773 34918 35063 35208 35353 35498 35643
## [31369] 35788 35933 36078 36223 36368 36513 36658 36803 36948 37093 37238 37383
## [31381] 37528 37673 37818 37963 38108 38253 38398 38543 119 264 409 554
## [31393] 699 844 989 1134 1279 1424 1569 1714 1859 2004 2149 2294
## [31405] 2439 2584 2729 2874 3019 3164 3309 3454 3599 3744 3889 4034
## [31417] 4179 4324 4469 4614 4759 4904 5049 5194 5339 5484 5629 5774
## [31429] 5919 6064 6209 6354 6499 6644 6789 6934 7079 7224 7369 7514
## [31441] 7659 7804 7949 8094 8239 8384 8529 8674 8819 8964 9109 9254
## [31453] 9399 9544 9689 9834 9979 10124 10269 10414 10559 10704 10849 10994
## [31465] 11139 11284 11429 11574 11719 11864 12009 12154 12299 12444 12589 12734
## [31477] 12879 13024 13169 13314 13459 13604 13749 13894 14039 14184 14329 14474
## [31489] 14619 14764 14909 15054 15199 15344 15489 15634 15779 15924 16069 16214
## [31501] 16359 16504 16649 16794 16939 17084 17229 17374 17519 17664 17809 17954
## [31513] 18099 18244 18389 18534 18679 18824 18969 19114 19259 19404 19549 19694
## [31525] 19839 19984 20129 20274 20419 20564 20709 20854 20999 21144 21289 21434
## [31537] 21579 21724 21869 22014 22159 22304 22449 22594 22739 22884 23029 23174
## [31549] 23319 23464 23609 23754 23899 24044 24189 24334 24479 24624 24769 24914
## [31561] 25059 25204 25349 25494 25639 25784 25929 26074 26219 26364 26509 26654
## [31573] 26799 26944 27089 27234 27379 27524 27669 27814 27959 28104 28249 28394
## [31585] 28539 28684 28829 28974 29119 29264 29409 29554 29699 29844 29989 30134
## [31597] 30279 30424 30569 30714 30859 31004 31149 31294 31439 31584 31729 31874
## [31609] 32019 32164 32309 32454 32599 32744 32889 33034 33179 33324 33469 33614
## [31621] 33759 33904 34049 34194 34339 34484 34629 34774 34919 35064 35209 35354
## [31633] 35499 35644 35789 35934 36079 36224 36369 36514 36659 36804 36949 37094
## [31645] 37239 37384 37529 37674 37819 37964 38109 38254 38399 38544 120 265
## [31657] 410 555 700 845 990 1135 1280 1425 1570 1715 1860 2005
## [31669] 2150 2295 2440 2585 2730 2875 3020 3165 3310 3455 3600 3745
## [31681] 3890 4035 4180 4325 4470 4615 4760 4905 5050 5195 5340 5485
## [31693] 5630 5775 5920 6065 6210 6355 6500 6645 6790 6935 7080 7225
## [31705] 7370 7515 7660 7805 7950 8095 8240 8385 8530 8675 8820 8965
## [31717] 9110 9255 9400 9545 9690 9835 9980 10125 10270 10415 10560 10705
## [31729] 10850 10995 11140 11285 11430 11575 11720 11865 12010 12155 12300 12445
## [31741] 12590 12735 12880 13025 13170 13315 13460 13605 13750 13895 14040 14185
## [31753] 14330 14475 14620 14765 14910 15055 15200 15345 15490 15635 15780 15925
## [31765] 16070 16215 16360 16505 16650 16795 16940 17085 17230 17375 17520 17665
## [31777] 17810 17955 18100 18245 18390 18535 18680 18825 18970 19115 19260 19405
## [31789] 19550 19695 19840 19985 20130 20275 20420 20565 20710 20855 21000 21145
## [31801] 21290 21435 21580 21725 21870 22015 22160 22305 22450 22595 22740 22885
## [31813] 23030 23175 23320 23465 23610 23755 23900 24045 24190 24335 24480 24625
## [31825] 24770 24915 25060 25205 25350 25495 25640 25785 25930 26075 26220 26365
## [31837] 26510 26655 26800 26945 27090 27235 27380 27525 27670 27815 27960 28105
## [31849] 28250 28395 28540 28685 28830 28975 29120 29265 29410 29555 29700 29845
## [31861] 29990 30135 30280 30425 30570 30715 30860 31005 31150 31295 31440 31585
## [31873] 31730 31875 32020 32165 32310 32455 32600 32745 32890 33035 33180 33325
## [31885] 33470 33615 33760 33905 34050 34195 34340 34485 34630 34775 34920 35065
## [31897] 35210 35355 35500 35645 35790 35935 36080 36225 36370 36515 36660 36805
## [31909] 36950 37095 37240 37385 37530 37675 37820 37965 38110 38255 38400 38545
## [31921] 121 266 411 556 701 846 991 1136 1281 1426 1571 1716
## [31933] 1861 2006 2151 2296 2441 2586 2731 2876 3021 3166 3311 3456
## [31945] 3601 3746 3891 4036 4181 4326 4471 4616 4761 4906 5051 5196
## [31957] 5341 5486 5631 5776 5921 6066 6211 6356 6501 6646 6791 6936
## [31969] 7081 7226 7371 7516 7661 7806 7951 8096 8241 8386 8531 8676
## [31981] 8821 8966 9111 9256 9401 9546 9691 9836 9981 10126 10271 10416
## [31993] 10561 10706 10851 10996 11141 11286 11431 11576 11721 11866 12011 12156
## [32005] 12301 12446 12591 12736 12881 13026 13171 13316 13461 13606 13751 13896
## [32017] 14041 14186 14331 14476 14621 14766 14911 15056 15201 15346 15491 15636
## [32029] 15781 15926 16071 16216 16361 16506 16651 16796 16941 17086 17231 17376
## [32041] 17521 17666 17811 17956 18101 18246 18391 18536 18681 18826 18971 19116
## [32053] 19261 19406 19551 19696 19841 19986 20131 20276 20421 20566 20711 20856
## [32065] 21001 21146 21291 21436 21581 21726 21871 22016 22161 22306 22451 22596
## [32077] 22741 22886 23031 23176 23321 23466 23611 23756 23901 24046 24191 24336
## [32089] 24481 24626 24771 24916 25061 25206 25351 25496 25641 25786 25931 26076
## [32101] 26221 26366 26511 26656 26801 26946 27091 27236 27381 27526 27671 27816
## [32113] 27961 28106 28251 28396 28541 28686 28831 28976 29121 29266 29411 29556
## [32125] 29701 29846 29991 30136 30281 30426 30571 30716 30861 31006 31151 31296
## [32137] 31441 31586 31731 31876 32021 32166 32311 32456 32601 32746 32891 33036
## [32149] 33181 33326 33471 33616 33761 33906 34051 34196 34341 34486 34631 34776
## [32161] 34921 35066 35211 35356 35501 35646 35791 35936 36081 36226 36371 36516
## [32173] 36661 36806 36951 37096 37241 37386 37531 37676 37821 37966 38111 38256
## [32185] 38401 38546 122 267 412 557 702 847 992 1137 1282 1427
## [32197] 1572 1717 1862 2007 2152 2297 2442 2587 2732 2877 3022 3167
## [32209] 3312 3457 3602 3747 3892 4037 4182 4327 4472 4617 4762 4907
## [32221] 5052 5197 5342 5487 5632 5777 5922 6067 6212 6357 6502 6647
## [32233] 6792 6937 7082 7227 7372 7517 7662 7807 7952 8097 8242 8387
## [32245] 8532 8677 8822 8967 9112 9257 9402 9547 9692 9837 9982 10127
## [32257] 10272 10417 10562 10707 10852 10997 11142 11287 11432 11577 11722 11867
## [32269] 12012 12157 12302 12447 12592 12737 12882 13027 13172 13317 13462 13607
## [32281] 13752 13897 14042 14187 14332 14477 14622 14767 14912 15057 15202 15347
## [32293] 15492 15637 15782 15927 16072 16217 16362 16507 16652 16797 16942 17087
## [32305] 17232 17377 17522 17667 17812 17957 18102 18247 18392 18537 18682 18827
## [32317] 18972 19117 19262 19407 19552 19697 19842 19987 20132 20277 20422 20567
## [32329] 20712 20857 21002 21147 21292 21437 21582 21727 21872 22017 22162 22307
## [32341] 22452 22597 22742 22887 23032 23177 23322 23467 23612 23757 23902 24047
## [32353] 24192 24337 24482 24627 24772 24917 25062 25207 25352 25497 25642 25787
## [32365] 25932 26077 26222 26367 26512 26657 26802 26947 27092 27237 27382 27527
## [32377] 27672 27817 27962 28107 28252 28397 28542 28687 28832 28977 29122 29267
## [32389] 29412 29557 29702 29847 29992 30137 30282 30427 30572 30717 30862 31007
## [32401] 31152 31297 31442 31587 31732 31877 32022 32167 32312 32457 32602 32747
## [32413] 32892 33037 33182 33327 33472 33617 33762 33907 34052 34197 34342 34487
## [32425] 34632 34777 34922 35067 35212 35357 35502 35647 35792 35937 36082 36227
## [32437] 36372 36517 36662 36807 36952 37097 37242 37387 37532 37677 37822 37967
## [32449] 38112 38257 38402 38547 123 268 413 558 703 848 993 1138
## [32461] 1283 1428 1573 1718 1863 2008 2153 2298 2443 2588 2733 2878
## [32473] 3023 3168 3313 3458 3603 3748 3893 4038 4183 4328 4473 4618
## [32485] 4763 4908 5053 5198 5343 5488 5633 5778 5923 6068 6213 6358
## [32497] 6503 6648 6793 6938 7083 7228 7373 7518 7663 7808 7953 8098
## [32509] 8243 8388 8533 8678 8823 8968 9113 9258 9403 9548 9693 9838
## [32521] 9983 10128 10273 10418 10563 10708 10853 10998 11143 11288 11433 11578
## [32533] 11723 11868 12013 12158 12303 12448 12593 12738 12883 13028 13173 13318
## [32545] 13463 13608 13753 13898 14043 14188 14333 14478 14623 14768 14913 15058
## [32557] 15203 15348 15493 15638 15783 15928 16073 16218 16363 16508 16653 16798
## [32569] 16943 17088 17233 17378 17523 17668 17813 17958 18103 18248 18393 18538
## [32581] 18683 18828 18973 19118 19263 19408 19553 19698 19843 19988 20133 20278
## [32593] 20423 20568 20713 20858 21003 21148 21293 21438 21583 21728 21873 22018
## [32605] 22163 22308 22453 22598 22743 22888 23033 23178 23323 23468 23613 23758
## [32617] 23903 24048 24193 24338 24483 24628 24773 24918 25063 25208 25353 25498
## [32629] 25643 25788 25933 26078 26223 26368 26513 26658 26803 26948 27093 27238
## [32641] 27383 27528 27673 27818 27963 28108 28253 28398 28543 28688 28833 28978
## [32653] 29123 29268 29413 29558 29703 29848 29993 30138 30283 30428 30573 30718
## [32665] 30863 31008 31153 31298 31443 31588 31733 31878 32023 32168 32313 32458
## [32677] 32603 32748 32893 33038 33183 33328 33473 33618 33763 33908 34053 34198
## [32689] 34343 34488 34633 34778 34923 35068 35213 35358 35503 35648 35793 35938
## [32701] 36083 36228 36373 36518 36663 36808 36953 37098 37243 37388 37533 37678
## [32713] 37823 37968 38113 38258 38403 38548 124 269 414 559 704 849
## [32725] 994 1139 1284 1429 1574 1719 1864 2009 2154 2299 2444 2589
## [32737] 2734 2879 3024 3169 3314 3459 3604 3749 3894 4039 4184 4329
## [32749] 4474 4619 4764 4909 5054 5199 5344 5489 5634 5779 5924 6069
## [32761] 6214 6359 6504 6649 6794 6939 7084 7229 7374 7519 7664 7809
## [32773] 7954 8099 8244 8389 8534 8679 8824 8969 9114 9259 9404 9549
## [32785] 9694 9839 9984 10129 10274 10419 10564 10709 10854 10999 11144 11289
## [32797] 11434 11579 11724 11869 12014 12159 12304 12449 12594 12739 12884 13029
## [32809] 13174 13319 13464 13609 13754 13899 14044 14189 14334 14479 14624 14769
## [32821] 14914 15059 15204 15349 15494 15639 15784 15929 16074 16219 16364 16509
## [32833] 16654 16799 16944 17089 17234 17379 17524 17669 17814 17959 18104 18249
## [32845] 18394 18539 18684 18829 18974 19119 19264 19409 19554 19699 19844 19989
## [32857] 20134 20279 20424 20569 20714 20859 21004 21149 21294 21439 21584 21729
## [32869] 21874 22019 22164 22309 22454 22599 22744 22889 23034 23179 23324 23469
## [32881] 23614 23759 23904 24049 24194 24339 24484 24629 24774 24919 25064 25209
## [32893] 25354 25499 25644 25789 25934 26079 26224 26369 26514 26659 26804 26949
## [32905] 27094 27239 27384 27529 27674 27819 27964 28109 28254 28399 28544 28689
## [32917] 28834 28979 29124 29269 29414 29559 29704 29849 29994 30139 30284 30429
## [32929] 30574 30719 30864 31009 31154 31299 31444 31589 31734 31879 32024 32169
## [32941] 32314 32459 32604 32749 32894 33039 33184 33329 33474 33619 33764 33909
## [32953] 34054 34199 34344 34489 34634 34779 34924 35069 35214 35359 35504 35649
## [32965] 35794 35939 36084 36229 36374 36519 36664 36809 36954 37099 37244 37389
## [32977] 37534 37679 37824 37969 38114 38259 38404 38549 125 270 415 560
## [32989] 705 850 995 1140 1285 1430 1575 1720 1865 2010 2155 2300
## [33001] 2445 2590 2735 2880 3025 3170 3315 3460 3605 3750 3895 4040
## [33013] 4185 4330 4475 4620 4765 4910 5055 5200 5345 5490 5635 5780
## [33025] 5925 6070 6215 6360 6505 6650 6795 6940 7085 7230 7375 7520
## [33037] 7665 7810 7955 8100 8245 8390 8535 8680 8825 8970 9115 9260
## [33049] 9405 9550 9695 9840 9985 10130 10275 10420 10565 10710 10855 11000
## [33061] 11145 11290 11435 11580 11725 11870 12015 12160 12305 12450 12595 12740
## [33073] 12885 13030 13175 13320 13465 13610 13755 13900 14045 14190 14335 14480
## [33085] 14625 14770 14915 15060 15205 15350 15495 15640 15785 15930 16075 16220
## [33097] 16365 16510 16655 16800 16945 17090 17235 17380 17525 17670 17815 17960
## [33109] 18105 18250 18395 18540 18685 18830 18975 19120 19265 19410 19555 19700
## [33121] 19845 19990 20135 20280 20425 20570 20715 20860 21005 21150 21295 21440
## [33133] 21585 21730 21875 22020 22165 22310 22455 22600 22745 22890 23035 23180
## [33145] 23325 23470 23615 23760 23905 24050 24195 24340 24485 24630 24775 24920
## [33157] 25065 25210 25355 25500 25645 25790 25935 26080 26225 26370 26515 26660
## [33169] 26805 26950 27095 27240 27385 27530 27675 27820 27965 28110 28255 28400
## [33181] 28545 28690 28835 28980 29125 29270 29415 29560 29705 29850 29995 30140
## [33193] 30285 30430 30575 30720 30865 31010 31155 31300 31445 31590 31735 31880
## [33205] 32025 32170 32315 32460 32605 32750 32895 33040 33185 33330 33475 33620
## [33217] 33765 33910 34055 34200 34345 34490 34635 34780 34925 35070 35215 35360
## [33229] 35505 35650 35795 35940 36085 36230 36375 36520 36665 36810 36955 37100
## [33241] 37245 37390 37535 37680 37825 37970 38115 38260 38405 38550 126 271
## [33253] 416 561 706 851 996 1141 1286 1431 1576 1721 1866 2011
## [33265] 2156 2301 2446 2591 2736 2881 3026 3171 3316 3461 3606 3751
## [33277] 3896 4041 4186 4331 4476 4621 4766 4911 5056 5201 5346 5491
## [33289] 5636 5781 5926 6071 6216 6361 6506 6651 6796 6941 7086 7231
## [33301] 7376 7521 7666 7811 7956 8101 8246 8391 8536 8681 8826 8971
## [33313] 9116 9261 9406 9551 9696 9841 9986 10131 10276 10421 10566 10711
## [33325] 10856 11001 11146 11291 11436 11581 11726 11871 12016 12161 12306 12451
## [33337] 12596 12741 12886 13031 13176 13321 13466 13611 13756 13901 14046 14191
## [33349] 14336 14481 14626 14771 14916 15061 15206 15351 15496 15641 15786 15931
## [33361] 16076 16221 16366 16511 16656 16801 16946 17091 17236 17381 17526 17671
## [33373] 17816 17961 18106 18251 18396 18541 18686 18831 18976 19121 19266 19411
## [33385] 19556 19701 19846 19991 20136 20281 20426 20571 20716 20861 21006 21151
## [33397] 21296 21441 21586 21731 21876 22021 22166 22311 22456 22601 22746 22891
## [33409] 23036 23181 23326 23471 23616 23761 23906 24051 24196 24341 24486 24631
## [33421] 24776 24921 25066 25211 25356 25501 25646 25791 25936 26081 26226 26371
## [33433] 26516 26661 26806 26951 27096 27241 27386 27531 27676 27821 27966 28111
## [33445] 28256 28401 28546 28691 28836 28981 29126 29271 29416 29561 29706 29851
## [33457] 29996 30141 30286 30431 30576 30721 30866 31011 31156 31301 31446 31591
## [33469] 31736 31881 32026 32171 32316 32461 32606 32751 32896 33041 33186 33331
## [33481] 33476 33621 33766 33911 34056 34201 34346 34491 34636 34781 34926 35071
## [33493] 35216 35361 35506 35651 35796 35941 36086 36231 36376 36521 36666 36811
## [33505] 36956 37101 37246 37391 37536 37681 37826 37971 38116 38261 38406 38551
## [33517] 127 272 417 562 707 852 997 1142 1287 1432 1577 1722
## [33529] 1867 2012 2157 2302 2447 2592 2737 2882 3027 3172 3317 3462
## [33541] 3607 3752 3897 4042 4187 4332 4477 4622 4767 4912 5057 5202
## [33553] 5347 5492 5637 5782 5927 6072 6217 6362 6507 6652 6797 6942
## [33565] 7087 7232 7377 7522 7667 7812 7957 8102 8247 8392 8537 8682
## [33577] 8827 8972 9117 9262 9407 9552 9697 9842 9987 10132 10277 10422
## [33589] 10567 10712 10857 11002 11147 11292 11437 11582 11727 11872 12017 12162
## [33601] 12307 12452 12597 12742 12887 13032 13177 13322 13467 13612 13757 13902
## [33613] 14047 14192 14337 14482 14627 14772 14917 15062 15207 15352 15497 15642
## [33625] 15787 15932 16077 16222 16367 16512 16657 16802 16947 17092 17237 17382
## [33637] 17527 17672 17817 17962 18107 18252 18397 18542 18687 18832 18977 19122
## [33649] 19267 19412 19557 19702 19847 19992 20137 20282 20427 20572 20717 20862
## [33661] 21007 21152 21297 21442 21587 21732 21877 22022 22167 22312 22457 22602
## [33673] 22747 22892 23037 23182 23327 23472 23617 23762 23907 24052 24197 24342
## [33685] 24487 24632 24777 24922 25067 25212 25357 25502 25647 25792 25937 26082
## [33697] 26227 26372 26517 26662 26807 26952 27097 27242 27387 27532 27677 27822
## [33709] 27967 28112 28257 28402 28547 28692 28837 28982 29127 29272 29417 29562
## [33721] 29707 29852 29997 30142 30287 30432 30577 30722 30867 31012 31157 31302
## [33733] 31447 31592 31737 31882 32027 32172 32317 32462 32607 32752 32897 33042
## [33745] 33187 33332 33477 33622 33767 33912 34057 34202 34347 34492 34637 34782
## [33757] 34927 35072 35217 35362 35507 35652 35797 35942 36087 36232 36377 36522
## [33769] 36667 36812 36957 37102 37247 37392 37537 37682 37827 37972 38117 38262
## [33781] 38407 38552 128 273 418 563 708 853 998 1143 1288 1433
## [33793] 1578 1723 1868 2013 2158 2303 2448 2593 2738 2883 3028 3173
## [33805] 3318 3463 3608 3753 3898 4043 4188 4333 4478 4623 4768 4913
## [33817] 5058 5203 5348 5493 5638 5783 5928 6073 6218 6363 6508 6653
## [33829] 6798 6943 7088 7233 7378 7523 7668 7813 7958 8103 8248 8393
## [33841] 8538 8683 8828 8973 9118 9263 9408 9553 9698 9843 9988 10133
## [33853] 10278 10423 10568 10713 10858 11003 11148 11293 11438 11583 11728 11873
## [33865] 12018 12163 12308 12453 12598 12743 12888 13033 13178 13323 13468 13613
## [33877] 13758 13903 14048 14193 14338 14483 14628 14773 14918 15063 15208 15353
## [33889] 15498 15643 15788 15933 16078 16223 16368 16513 16658 16803 16948 17093
## [33901] 17238 17383 17528 17673 17818 17963 18108 18253 18398 18543 18688 18833
## [33913] 18978 19123 19268 19413 19558 19703 19848 19993 20138 20283 20428 20573
## [33925] 20718 20863 21008 21153 21298 21443 21588 21733 21878 22023 22168 22313
## [33937] 22458 22603 22748 22893 23038 23183 23328 23473 23618 23763 23908 24053
## [33949] 24198 24343 24488 24633 24778 24923 25068 25213 25358 25503 25648 25793
## [33961] 25938 26083 26228 26373 26518 26663 26808 26953 27098 27243 27388 27533
## [33973] 27678 27823 27968 28113 28258 28403 28548 28693 28838 28983 29128 29273
## [33985] 29418 29563 29708 29853 29998 30143 30288 30433 30578 30723 30868 31013
## [33997] 31158 31303 31448 31593 31738 31883 32028 32173 32318 32463 32608 32753
## [34009] 32898 33043 33188 33333 33478 33623 33768 33913 34058 34203 34348 34493
## [34021] 34638 34783 34928 35073 35218 35363 35508 35653 35798 35943 36088 36233
## [34033] 36378 36523 36668 36813 36958 37103 37248 37393 37538 37683 37828 37973
## [34045] 38118 38263 38408 38553 129 274 419 564 709 854 999 1144
## [34057] 1289 1434 1579 1724 1869 2014 2159 2304 2449 2594 2739 2884
## [34069] 3029 3174 3319 3464 3609 3754 3899 4044 4189 4334 4479 4624
## [34081] 4769 4914 5059 5204 5349 5494 5639 5784 5929 6074 6219 6364
## [34093] 6509 6654 6799 6944 7089 7234 7379 7524 7669 7814 7959 8104
## [34105] 8249 8394 8539 8684 8829 8974 9119 9264 9409 9554 9699 9844
## [34117] 9989 10134 10279 10424 10569 10714 10859 11004 11149 11294 11439 11584
## [34129] 11729 11874 12019 12164 12309 12454 12599 12744 12889 13034 13179 13324
## [34141] 13469 13614 13759 13904 14049 14194 14339 14484 14629 14774 14919 15064
## [34153] 15209 15354 15499 15644 15789 15934 16079 16224 16369 16514 16659 16804
## [34165] 16949 17094 17239 17384 17529 17674 17819 17964 18109 18254 18399 18544
## [34177] 18689 18834 18979 19124 19269 19414 19559 19704 19849 19994 20139 20284
## [34189] 20429 20574 20719 20864 21009 21154 21299 21444 21589 21734 21879 22024
## [34201] 22169 22314 22459 22604 22749 22894 23039 23184 23329 23474 23619 23764
## [34213] 23909 24054 24199 24344 24489 24634 24779 24924 25069 25214 25359 25504
## [34225] 25649 25794 25939 26084 26229 26374 26519 26664 26809 26954 27099 27244
## [34237] 27389 27534 27679 27824 27969 28114 28259 28404 28549 28694 28839 28984
## [34249] 29129 29274 29419 29564 29709 29854 29999 30144 30289 30434 30579 30724
## [34261] 30869 31014 31159 31304 31449 31594 31739 31884 32029 32174 32319 32464
## [34273] 32609 32754 32899 33044 33189 33334 33479 33624 33769 33914 34059 34204
## [34285] 34349 34494 34639 34784 34929 35074 35219 35364 35509 35654 35799 35944
## [34297] 36089 36234 36379 36524 36669 36814 36959 37104 37249 37394 37539 37684
## [34309] 37829 37974 38119 38264 38409 38554 130 275 420 565 710 855
## [34321] 1000 1145 1290 1435 1580 1725 1870 2015 2160 2305 2450 2595
## [34333] 2740 2885 3030 3175 3320 3465 3610 3755 3900 4045 4190 4335
## [34345] 4480 4625 4770 4915 5060 5205 5350 5495 5640 5785 5930 6075
## [34357] 6220 6365 6510 6655 6800 6945 7090 7235 7380 7525 7670 7815
## [34369] 7960 8105 8250 8395 8540 8685 8830 8975 9120 9265 9410 9555
## [34381] 9700 9845 9990 10135 10280 10425 10570 10715 10860 11005 11150 11295
## [34393] 11440 11585 11730 11875 12020 12165 12310 12455 12600 12745 12890 13035
## [34405] 13180 13325 13470 13615 13760 13905 14050 14195 14340 14485 14630 14775
## [34417] 14920 15065 15210 15355 15500 15645 15790 15935 16080 16225 16370 16515
## [34429] 16660 16805 16950 17095 17240 17385 17530 17675 17820 17965 18110 18255
## [34441] 18400 18545 18690 18835 18980 19125 19270 19415 19560 19705 19850 19995
## [34453] 20140 20285 20430 20575 20720 20865 21010 21155 21300 21445 21590 21735
## [34465] 21880 22025 22170 22315 22460 22605 22750 22895 23040 23185 23330 23475
## [34477] 23620 23765 23910 24055 24200 24345 24490 24635 24780 24925 25070 25215
## [34489] 25360 25505 25650 25795 25940 26085 26230 26375 26520 26665 26810 26955
## [34501] 27100 27245 27390 27535 27680 27825 27970 28115 28260 28405 28550 28695
## [34513] 28840 28985 29130 29275 29420 29565 29710 29855 30000 30145 30290 30435
## [34525] 30580 30725 30870 31015 31160 31305 31450 31595 31740 31885 32030 32175
## [34537] 32320 32465 32610 32755 32900 33045 33190 33335 33480 33625 33770 33915
## [34549] 34060 34205 34350 34495 34640 34785 34930 35075 35220 35365 35510 35655
## [34561] 35800 35945 36090 36235 36380 36525 36670 36815 36960 37105 37250 37395
## [34573] 37540 37685 37830 37975 38120 38265 38410 38555 131 276 421 566
## [34585] 711 856 1001 1146 1291 1436 1581 1726 1871 2016 2161 2306
## [34597] 2451 2596 2741 2886 3031 3176 3321 3466 3611 3756 3901 4046
## [34609] 4191 4336 4481 4626 4771 4916 5061 5206 5351 5496 5641 5786
## [34621] 5931 6076 6221 6366 6511 6656 6801 6946 7091 7236 7381 7526
## [34633] 7671 7816 7961 8106 8251 8396 8541 8686 8831 8976 9121 9266
## [34645] 9411 9556 9701 9846 9991 10136 10281 10426 10571 10716 10861 11006
## [34657] 11151 11296 11441 11586 11731 11876 12021 12166 12311 12456 12601 12746
## [34669] 12891 13036 13181 13326 13471 13616 13761 13906 14051 14196 14341 14486
## [34681] 14631 14776 14921 15066 15211 15356 15501 15646 15791 15936 16081 16226
## [34693] 16371 16516 16661 16806 16951 17096 17241 17386 17531 17676 17821 17966
## [34705] 18111 18256 18401 18546 18691 18836 18981 19126 19271 19416 19561 19706
## [34717] 19851 19996 20141 20286 20431 20576 20721 20866 21011 21156 21301 21446
## [34729] 21591 21736 21881 22026 22171 22316 22461 22606 22751 22896 23041 23186
## [34741] 23331 23476 23621 23766 23911 24056 24201 24346 24491 24636 24781 24926
## [34753] 25071 25216 25361 25506 25651 25796 25941 26086 26231 26376 26521 26666
## [34765] 26811 26956 27101 27246 27391 27536 27681 27826 27971 28116 28261 28406
## [34777] 28551 28696 28841 28986 29131 29276 29421 29566 29711 29856 30001 30146
## [34789] 30291 30436 30581 30726 30871 31016 31161 31306 31451 31596 31741 31886
## [34801] 32031 32176 32321 32466 32611 32756 32901 33046 33191 33336 33481 33626
## [34813] 33771 33916 34061 34206 34351 34496 34641 34786 34931 35076 35221 35366
## [34825] 35511 35656 35801 35946 36091 36236 36381 36526 36671 36816 36961 37106
## [34837] 37251 37396 37541 37686 37831 37976 38121 38266 38411 38556 132 277
## [34849] 422 567 712 857 1002 1147 1292 1437 1582 1727 1872 2017
## [34861] 2162 2307 2452 2597 2742 2887 3032 3177 3322 3467 3612 3757
## [34873] 3902 4047 4192 4337 4482 4627 4772 4917 5062 5207 5352 5497
## [34885] 5642 5787 5932 6077 6222 6367 6512 6657 6802 6947 7092 7237
## [34897] 7382 7527 7672 7817 7962 8107 8252 8397 8542 8687 8832 8977
## [34909] 9122 9267 9412 9557 9702 9847 9992 10137 10282 10427 10572 10717
## [34921] 10862 11007 11152 11297 11442 11587 11732 11877 12022 12167 12312 12457
## [34933] 12602 12747 12892 13037 13182 13327 13472 13617 13762 13907 14052 14197
## [34945] 14342 14487 14632 14777 14922 15067 15212 15357 15502 15647 15792 15937
## [34957] 16082 16227 16372 16517 16662 16807 16952 17097 17242 17387 17532 17677
## [34969] 17822 17967 18112 18257 18402 18547 18692 18837 18982 19127 19272 19417
## [34981] 19562 19707 19852 19997 20142 20287 20432 20577 20722 20867 21012 21157
## [34993] 21302 21447 21592 21737 21882 22027 22172 22317 22462 22607 22752 22897
## [35005] 23042 23187 23332 23477 23622 23767 23912 24057 24202 24347 24492 24637
## [35017] 24782 24927 25072 25217 25362 25507 25652 25797 25942 26087 26232 26377
## [35029] 26522 26667 26812 26957 27102 27247 27392 27537 27682 27827 27972 28117
## [35041] 28262 28407 28552 28697 28842 28987 29132 29277 29422 29567 29712 29857
## [35053] 30002 30147 30292 30437 30582 30727 30872 31017 31162 31307 31452 31597
## [35065] 31742 31887 32032 32177 32322 32467 32612 32757 32902 33047 33192 33337
## [35077] 33482 33627 33772 33917 34062 34207 34352 34497 34642 34787 34932 35077
## [35089] 35222 35367 35512 35657 35802 35947 36092 36237 36382 36527 36672 36817
## [35101] 36962 37107 37252 37397 37542 37687 37832 37977 38122 38267 38412 38557
## [35113] 133 278 423 568 713 858 1003 1148 1293 1438 1583 1728
## [35125] 1873 2018 2163 2308 2453 2598 2743 2888 3033 3178 3323 3468
## [35137] 3613 3758 3903 4048 4193 4338 4483 4628 4773 4918 5063 5208
## [35149] 5353 5498 5643 5788 5933 6078 6223 6368 6513 6658 6803 6948
## [35161] 7093 7238 7383 7528 7673 7818 7963 8108 8253 8398 8543 8688
## [35173] 8833 8978 9123 9268 9413 9558 9703 9848 9993 10138 10283 10428
## [35185] 10573 10718 10863 11008 11153 11298 11443 11588 11733 11878 12023 12168
## [35197] 12313 12458 12603 12748 12893 13038 13183 13328 13473 13618 13763 13908
## [35209] 14053 14198 14343 14488 14633 14778 14923 15068 15213 15358 15503 15648
## [35221] 15793 15938 16083 16228 16373 16518 16663 16808 16953 17098 17243 17388
## [35233] 17533 17678 17823 17968 18113 18258 18403 18548 18693 18838 18983 19128
## [35245] 19273 19418 19563 19708 19853 19998 20143 20288 20433 20578 20723 20868
## [35257] 21013 21158 21303 21448 21593 21738 21883 22028 22173 22318 22463 22608
## [35269] 22753 22898 23043 23188 23333 23478 23623 23768 23913 24058 24203 24348
## [35281] 24493 24638 24783 24928 25073 25218 25363 25508 25653 25798 25943 26088
## [35293] 26233 26378 26523 26668 26813 26958 27103 27248 27393 27538 27683 27828
## [35305] 27973 28118 28263 28408 28553 28698 28843 28988 29133 29278 29423 29568
## [35317] 29713 29858 30003 30148 30293 30438 30583 30728 30873 31018 31163 31308
## [35329] 31453 31598 31743 31888 32033 32178 32323 32468 32613 32758 32903 33048
## [35341] 33193 33338 33483 33628 33773 33918 34063 34208 34353 34498 34643 34788
## [35353] 34933 35078 35223 35368 35513 35658 35803 35948 36093 36238 36383 36528
## [35365] 36673 36818 36963 37108 37253 37398 37543 37688 37833 37978 38123 38268
## [35377] 38413 38558 134 279 424 569 714 859 1004 1149 1294 1439
## [35389] 1584 1729 1874 2019 2164 2309 2454 2599 2744 2889 3034 3179
## [35401] 3324 3469 3614 3759 3904 4049 4194 4339 4484 4629 4774 4919
## [35413] 5064 5209 5354 5499 5644 5789 5934 6079 6224 6369 6514 6659
## [35425] 6804 6949 7094 7239 7384 7529 7674 7819 7964 8109 8254 8399
## [35437] 8544 8689 8834 8979 9124 9269 9414 9559 9704 9849 9994 10139
## [35449] 10284 10429 10574 10719 10864 11009 11154 11299 11444 11589 11734 11879
## [35461] 12024 12169 12314 12459 12604 12749 12894 13039 13184 13329 13474 13619
## [35473] 13764 13909 14054 14199 14344 14489 14634 14779 14924 15069 15214 15359
## [35485] 15504 15649 15794 15939 16084 16229 16374 16519 16664 16809 16954 17099
## [35497] 17244 17389 17534 17679 17824 17969 18114 18259 18404 18549 18694 18839
## [35509] 18984 19129 19274 19419 19564 19709 19854 19999 20144 20289 20434 20579
## [35521] 20724 20869 21014 21159 21304 21449 21594 21739 21884 22029 22174 22319
## [35533] 22464 22609 22754 22899 23044 23189 23334 23479 23624 23769 23914 24059
## [35545] 24204 24349 24494 24639 24784 24929 25074 25219 25364 25509 25654 25799
## [35557] 25944 26089 26234 26379 26524 26669 26814 26959 27104 27249 27394 27539
## [35569] 27684 27829 27974 28119 28264 28409 28554 28699 28844 28989 29134 29279
## [35581] 29424 29569 29714 29859 30004 30149 30294 30439 30584 30729 30874 31019
## [35593] 31164 31309 31454 31599 31744 31889 32034 32179 32324 32469 32614 32759
## [35605] 32904 33049 33194 33339 33484 33629 33774 33919 34064 34209 34354 34499
## [35617] 34644 34789 34934 35079 35224 35369 35514 35659 35804 35949 36094 36239
## [35629] 36384 36529 36674 36819 36964 37109 37254 37399 37544 37689 37834 37979
## [35641] 38124 38269 38414 38559 135 280 425 570 715 860 1005 1150
## [35653] 1295 1440 1585 1730 1875 2020 2165 2310 2455 2600 2745 2890
## [35665] 3035 3180 3325 3470 3615 3760 3905 4050 4195 4340 4485 4630
## [35677] 4775 4920 5065 5210 5355 5500 5645 5790 5935 6080 6225 6370
## [35689] 6515 6660 6805 6950 7095 7240 7385 7530 7675 7820 7965 8110
## [35701] 8255 8400 8545 8690 8835 8980 9125 9270 9415 9560 9705 9850
## [35713] 9995 10140 10285 10430 10575 10720 10865 11010 11155 11300 11445 11590
## [35725] 11735 11880 12025 12170 12315 12460 12605 12750 12895 13040 13185 13330
## [35737] 13475 13620 13765 13910 14055 14200 14345 14490 14635 14780 14925 15070
## [35749] 15215 15360 15505 15650 15795 15940 16085 16230 16375 16520 16665 16810
## [35761] 16955 17100 17245 17390 17535 17680 17825 17970 18115 18260 18405 18550
## [35773] 18695 18840 18985 19130 19275 19420 19565 19710 19855 20000 20145 20290
## [35785] 20435 20580 20725 20870 21015 21160 21305 21450 21595 21740 21885 22030
## [35797] 22175 22320 22465 22610 22755 22900 23045 23190 23335 23480 23625 23770
## [35809] 23915 24060 24205 24350 24495 24640 24785 24930 25075 25220 25365 25510
## [35821] 25655 25800 25945 26090 26235 26380 26525 26670 26815 26960 27105 27250
## [35833] 27395 27540 27685 27830 27975 28120 28265 28410 28555 28700 28845 28990
## [35845] 29135 29280 29425 29570 29715 29860 30005 30150 30295 30440 30585 30730
## [35857] 30875 31020 31165 31310 31455 31600 31745 31890 32035 32180 32325 32470
## [35869] 32615 32760 32905 33050 33195 33340 33485 33630 33775 33920 34065 34210
## [35881] 34355 34500 34645 34790 34935 35080 35225 35370 35515 35660 35805 35950
## [35893] 36095 36240 36385 36530 36675 36820 36965 37110 37255 37400 37545 37690
## [35905] 37835 37980 38125 38270 38415 38560 136 281 426 571 716 861
## [35917] 1006 1151 1296 1441 1586 1731 1876 2021 2166 2311 2456 2601
## [35929] 2746 2891 3036 3181 3326 3471 3616 3761 3906 4051 4196 4341
## [35941] 4486 4631 4776 4921 5066 5211 5356 5501 5646 5791 5936 6081
## [35953] 6226 6371 6516 6661 6806 6951 7096 7241 7386 7531 7676 7821
## [35965] 7966 8111 8256 8401 8546 8691 8836 8981 9126 9271 9416 9561
## [35977] 9706 9851 9996 10141 10286 10431 10576 10721 10866 11011 11156 11301
## [35989] 11446 11591 11736 11881 12026 12171 12316 12461 12606 12751 12896 13041
## [36001] 13186 13331 13476 13621 13766 13911 14056 14201 14346 14491 14636 14781
## [36013] 14926 15071 15216 15361 15506 15651 15796 15941 16086 16231 16376 16521
## [36025] 16666 16811 16956 17101 17246 17391 17536 17681 17826 17971 18116 18261
## [36037] 18406 18551 18696 18841 18986 19131 19276 19421 19566 19711 19856 20001
## [36049] 20146 20291 20436 20581 20726 20871 21016 21161 21306 21451 21596 21741
## [36061] 21886 22031 22176 22321 22466 22611 22756 22901 23046 23191 23336 23481
## [36073] 23626 23771 23916 24061 24206 24351 24496 24641 24786 24931 25076 25221
## [36085] 25366 25511 25656 25801 25946 26091 26236 26381 26526 26671 26816 26961
## [36097] 27106 27251 27396 27541 27686 27831 27976 28121 28266 28411 28556 28701
## [36109] 28846 28991 29136 29281 29426 29571 29716 29861 30006 30151 30296 30441
## [36121] 30586 30731 30876 31021 31166 31311 31456 31601 31746 31891 32036 32181
## [36133] 32326 32471 32616 32761 32906 33051 33196 33341 33486 33631 33776 33921
## [36145] 34066 34211 34356 34501 34646 34791 34936 35081 35226 35371 35516 35661
## [36157] 35806 35951 36096 36241 36386 36531 36676 36821 36966 37111 37256 37401
## [36169] 37546 37691 37836 37981 38126 38271 38416 38561 137 282 427 572
## [36181] 717 862 1007 1152 1297 1442 1587 1732 1877 2022 2167 2312
## [36193] 2457 2602 2747 2892 3037 3182 3327 3472 3617 3762 3907 4052
## [36205] 4197 4342 4487 4632 4777 4922 5067 5212 5357 5502 5647 5792
## [36217] 5937 6082 6227 6372 6517 6662 6807 6952 7097 7242 7387 7532
## [36229] 7677 7822 7967 8112 8257 8402 8547 8692 8837 8982 9127 9272
## [36241] 9417 9562 9707 9852 9997 10142 10287 10432 10577 10722 10867 11012
## [36253] 11157 11302 11447 11592 11737 11882 12027 12172 12317 12462 12607 12752
## [36265] 12897 13042 13187 13332 13477 13622 13767 13912 14057 14202 14347 14492
## [36277] 14637 14782 14927 15072 15217 15362 15507 15652 15797 15942 16087 16232
## [36289] 16377 16522 16667 16812 16957 17102 17247 17392 17537 17682 17827 17972
## [36301] 18117 18262 18407 18552 18697 18842 18987 19132 19277 19422 19567 19712
## [36313] 19857 20002 20147 20292 20437 20582 20727 20872 21017 21162 21307 21452
## [36325] 21597 21742 21887 22032 22177 22322 22467 22612 22757 22902 23047 23192
## [36337] 23337 23482 23627 23772 23917 24062 24207 24352 24497 24642 24787 24932
## [36349] 25077 25222 25367 25512 25657 25802 25947 26092 26237 26382 26527 26672
## [36361] 26817 26962 27107 27252 27397 27542 27687 27832 27977 28122 28267 28412
## [36373] 28557 28702 28847 28992 29137 29282 29427 29572 29717 29862 30007 30152
## [36385] 30297 30442 30587 30732 30877 31022 31167 31312 31457 31602 31747 31892
## [36397] 32037 32182 32327 32472 32617 32762 32907 33052 33197 33342 33487 33632
## [36409] 33777 33922 34067 34212 34357 34502 34647 34792 34937 35082 35227 35372
## [36421] 35517 35662 35807 35952 36097 36242 36387 36532 36677 36822 36967 37112
## [36433] 37257 37402 37547 37692 37837 37982 38127 38272 38417 38562 138 283
## [36445] 428 573 718 863 1008 1153 1298 1443 1588 1733 1878 2023
## [36457] 2168 2313 2458 2603 2748 2893 3038 3183 3328 3473 3618 3763
## [36469] 3908 4053 4198 4343 4488 4633 4778 4923 5068 5213 5358 5503
## [36481] 5648 5793 5938 6083 6228 6373 6518 6663 6808 6953 7098 7243
## [36493] 7388 7533 7678 7823 7968 8113 8258 8403 8548 8693 8838 8983
## [36505] 9128 9273 9418 9563 9708 9853 9998 10143 10288 10433 10578 10723
## [36517] 10868 11013 11158 11303 11448 11593 11738 11883 12028 12173 12318 12463
## [36529] 12608 12753 12898 13043 13188 13333 13478 13623 13768 13913 14058 14203
## [36541] 14348 14493 14638 14783 14928 15073 15218 15363 15508 15653 15798 15943
## [36553] 16088 16233 16378 16523 16668 16813 16958 17103 17248 17393 17538 17683
## [36565] 17828 17973 18118 18263 18408 18553 18698 18843 18988 19133 19278 19423
## [36577] 19568 19713 19858 20003 20148 20293 20438 20583 20728 20873 21018 21163
## [36589] 21308 21453 21598 21743 21888 22033 22178 22323 22468 22613 22758 22903
## [36601] 23048 23193 23338 23483 23628 23773 23918 24063 24208 24353 24498 24643
## [36613] 24788 24933 25078 25223 25368 25513 25658 25803 25948 26093 26238 26383
## [36625] 26528 26673 26818 26963 27108 27253 27398 27543 27688 27833 27978 28123
## [36637] 28268 28413 28558 28703 28848 28993 29138 29283 29428 29573 29718 29863
## [36649] 30008 30153 30298 30443 30588 30733 30878 31023 31168 31313 31458 31603
## [36661] 31748 31893 32038 32183 32328 32473 32618 32763 32908 33053 33198 33343
## [36673] 33488 33633 33778 33923 34068 34213 34358 34503 34648 34793 34938 35083
## [36685] 35228 35373 35518 35663 35808 35953 36098 36243 36388 36533 36678 36823
## [36697] 36968 37113 37258 37403 37548 37693 37838 37983 38128 38273 38418 38563
## [36709] 139 284 429 574 719 864 1009 1154 1299 1444 1589 1734
## [36721] 1879 2024 2169 2314 2459 2604 2749 2894 3039 3184 3329 3474
## [36733] 3619 3764 3909 4054 4199 4344 4489 4634 4779 4924 5069 5214
## [36745] 5359 5504 5649 5794 5939 6084 6229 6374 6519 6664 6809 6954
## [36757] 7099 7244 7389 7534 7679 7824 7969 8114 8259 8404 8549 8694
## [36769] 8839 8984 9129 9274 9419 9564 9709 9854 9999 10144 10289 10434
## [36781] 10579 10724 10869 11014 11159 11304 11449 11594 11739 11884 12029 12174
## [36793] 12319 12464 12609 12754 12899 13044 13189 13334 13479 13624 13769 13914
## [36805] 14059 14204 14349 14494 14639 14784 14929 15074 15219 15364 15509 15654
## [36817] 15799 15944 16089 16234 16379 16524 16669 16814 16959 17104 17249 17394
## [36829] 17539 17684 17829 17974 18119 18264 18409 18554 18699 18844 18989 19134
## [36841] 19279 19424 19569 19714 19859 20004 20149 20294 20439 20584 20729 20874
## [36853] 21019 21164 21309 21454 21599 21744 21889 22034 22179 22324 22469 22614
## [36865] 22759 22904 23049 23194 23339 23484 23629 23774 23919 24064 24209 24354
## [36877] 24499 24644 24789 24934 25079 25224 25369 25514 25659 25804 25949 26094
## [36889] 26239 26384 26529 26674 26819 26964 27109 27254 27399 27544 27689 27834
## [36901] 27979 28124 28269 28414 28559 28704 28849 28994 29139 29284 29429 29574
## [36913] 29719 29864 30009 30154 30299 30444 30589 30734 30879 31024 31169 31314
## [36925] 31459 31604 31749 31894 32039 32184 32329 32474 32619 32764 32909 33054
## [36937] 33199 33344 33489 33634 33779 33924 34069 34214 34359 34504 34649 34794
## [36949] 34939 35084 35229 35374 35519 35664 35809 35954 36099 36244 36389 36534
## [36961] 36679 36824 36969 37114 37259 37404 37549 37694 37839 37984 38129 38274
## [36973] 38419 38564 140 285 430 575 720 865 1010 1155 1300 1445
## [36985] 1590 1735 1880 2025 2170 2315 2460 2605 2750 2895 3040 3185
## [36997] 3330 3475 3620 3765 3910 4055 4200 4345 4490 4635 4780 4925
## [37009] 5070 5215 5360 5505 5650 5795 5940 6085 6230 6375 6520 6665
## [37021] 6810 6955 7100 7245 7390 7535 7680 7825 7970 8115 8260 8405
## [37033] 8550 8695 8840 8985 9130 9275 9420 9565 9710 9855 10000 10145
## [37045] 10290 10435 10580 10725 10870 11015 11160 11305 11450 11595 11740 11885
## [37057] 12030 12175 12320 12465 12610 12755 12900 13045 13190 13335 13480 13625
## [37069] 13770 13915 14060 14205 14350 14495 14640 14785 14930 15075 15220 15365
## [37081] 15510 15655 15800 15945 16090 16235 16380 16525 16670 16815 16960 17105
## [37093] 17250 17395 17540 17685 17830 17975 18120 18265 18410 18555 18700 18845
## [37105] 18990 19135 19280 19425 19570 19715 19860 20005 20150 20295 20440 20585
## [37117] 20730 20875 21020 21165 21310 21455 21600 21745 21890 22035 22180 22325
## [37129] 22470 22615 22760 22905 23050 23195 23340 23485 23630 23775 23920 24065
## [37141] 24210 24355 24500 24645 24790 24935 25080 25225 25370 25515 25660 25805
## [37153] 25950 26095 26240 26385 26530 26675 26820 26965 27110 27255 27400 27545
## [37165] 27690 27835 27980 28125 28270 28415 28560 28705 28850 28995 29140 29285
## [37177] 29430 29575 29720 29865 30010 30155 30300 30445 30590 30735 30880 31025
## [37189] 31170 31315 31460 31605 31750 31895 32040 32185 32330 32475 32620 32765
## [37201] 32910 33055 33200 33345 33490 33635 33780 33925 34070 34215 34360 34505
## [37213] 34650 34795 34940 35085 35230 35375 35520 35665 35810 35955 36100 36245
## [37225] 36390 36535 36680 36825 36970 37115 37260 37405 37550 37695 37840 37985
## [37237] 38130 38275 38420 38565 141 286 431 576 721 866 1011 1156
## [37249] 1301 1446 1591 1736 1881 2026 2171 2316 2461 2606 2751 2896
## [37261] 3041 3186 3331 3476 3621 3766 3911 4056 4201 4346 4491 4636
## [37273] 4781 4926 5071 5216 5361 5506 5651 5796 5941 6086 6231 6376
## [37285] 6521 6666 6811 6956 7101 7246 7391 7536 7681 7826 7971 8116
## [37297] 8261 8406 8551 8696 8841 8986 9131 9276 9421 9566 9711 9856
## [37309] 10001 10146 10291 10436 10581 10726 10871 11016 11161 11306 11451 11596
## [37321] 11741 11886 12031 12176 12321 12466 12611 12756 12901 13046 13191 13336
## [37333] 13481 13626 13771 13916 14061 14206 14351 14496 14641 14786 14931 15076
## [37345] 15221 15366 15511 15656 15801 15946 16091 16236 16381 16526 16671 16816
## [37357] 16961 17106 17251 17396 17541 17686 17831 17976 18121 18266 18411 18556
## [37369] 18701 18846 18991 19136 19281 19426 19571 19716 19861 20006 20151 20296
## [37381] 20441 20586 20731 20876 21021 21166 21311 21456 21601 21746 21891 22036
## [37393] 22181 22326 22471 22616 22761 22906 23051 23196 23341 23486 23631 23776
## [37405] 23921 24066 24211 24356 24501 24646 24791 24936 25081 25226 25371 25516
## [37417] 25661 25806 25951 26096 26241 26386 26531 26676 26821 26966 27111 27256
## [37429] 27401 27546 27691 27836 27981 28126 28271 28416 28561 28706 28851 28996
## [37441] 29141 29286 29431 29576 29721 29866 30011 30156 30301 30446 30591 30736
## [37453] 30881 31026 31171 31316 31461 31606 31751 31896 32041 32186 32331 32476
## [37465] 32621 32766 32911 33056 33201 33346 33491 33636 33781 33926 34071 34216
## [37477] 34361 34506 34651 34796 34941 35086 35231 35376 35521 35666 35811 35956
## [37489] 36101 36246 36391 36536 36681 36826 36971 37116 37261 37406 37551 37696
## [37501] 37841 37986 38131 38276 38421 38566 142 287 432 577 722 867
## [37513] 1012 1157 1302 1447 1592 1737 1882 2027 2172 2317 2462 2607
## [37525] 2752 2897 3042 3187 3332 3477 3622 3767 3912 4057 4202 4347
## [37537] 4492 4637 4782 4927 5072 5217 5362 5507 5652 5797 5942 6087
## [37549] 6232 6377 6522 6667 6812 6957 7102 7247 7392 7537 7682 7827
## [37561] 7972 8117 8262 8407 8552 8697 8842 8987 9132 9277 9422 9567
## [37573] 9712 9857 10002 10147 10292 10437 10582 10727 10872 11017 11162 11307
## [37585] 11452 11597 11742 11887 12032 12177 12322 12467 12612 12757 12902 13047
## [37597] 13192 13337 13482 13627 13772 13917 14062 14207 14352 14497 14642 14787
## [37609] 14932 15077 15222 15367 15512 15657 15802 15947 16092 16237 16382 16527
## [37621] 16672 16817 16962 17107 17252 17397 17542 17687 17832 17977 18122 18267
## [37633] 18412 18557 18702 18847 18992 19137 19282 19427 19572 19717 19862 20007
## [37645] 20152 20297 20442 20587 20732 20877 21022 21167 21312 21457 21602 21747
## [37657] 21892 22037 22182 22327 22472 22617 22762 22907 23052 23197 23342 23487
## [37669] 23632 23777 23922 24067 24212 24357 24502 24647 24792 24937 25082 25227
## [37681] 25372 25517 25662 25807 25952 26097 26242 26387 26532 26677 26822 26967
## [37693] 27112 27257 27402 27547 27692 27837 27982 28127 28272 28417 28562 28707
## [37705] 28852 28997 29142 29287 29432 29577 29722 29867 30012 30157 30302 30447
## [37717] 30592 30737 30882 31027 31172 31317 31462 31607 31752 31897 32042 32187
## [37729] 32332 32477 32622 32767 32912 33057 33202 33347 33492 33637 33782 33927
## [37741] 34072 34217 34362 34507 34652 34797 34942 35087 35232 35377 35522 35667
## [37753] 35812 35957 36102 36247 36392 36537 36682 36827 36972 37117 37262 37407
## [37765] 37552 37697 37842 37987 38132 38277 38422 38567 143 288 433 578
## [37777] 723 868 1013 1158 1303 1448 1593 1738 1883 2028 2173 2318
## [37789] 2463 2608 2753 2898 3043 3188 3333 3478 3623 3768 3913 4058
## [37801] 4203 4348 4493 4638 4783 4928 5073 5218 5363 5508 5653 5798
## [37813] 5943 6088 6233 6378 6523 6668 6813 6958 7103 7248 7393 7538
## [37825] 7683 7828 7973 8118 8263 8408 8553 8698 8843 8988 9133 9278
## [37837] 9423 9568 9713 9858 10003 10148 10293 10438 10583 10728 10873 11018
## [37849] 11163 11308 11453 11598 11743 11888 12033 12178 12323 12468 12613 12758
## [37861] 12903 13048 13193 13338 13483 13628 13773 13918 14063 14208 14353 14498
## [37873] 14643 14788 14933 15078 15223 15368 15513 15658 15803 15948 16093 16238
## [37885] 16383 16528 16673 16818 16963 17108 17253 17398 17543 17688 17833 17978
## [37897] 18123 18268 18413 18558 18703 18848 18993 19138 19283 19428 19573 19718
## [37909] 19863 20008 20153 20298 20443 20588 20733 20878 21023 21168 21313 21458
## [37921] 21603 21748 21893 22038 22183 22328 22473 22618 22763 22908 23053 23198
## [37933] 23343 23488 23633 23778 23923 24068 24213 24358 24503 24648 24793 24938
## [37945] 25083 25228 25373 25518 25663 25808 25953 26098 26243 26388 26533 26678
## [37957] 26823 26968 27113 27258 27403 27548 27693 27838 27983 28128 28273 28418
## [37969] 28563 28708 28853 28998 29143 29288 29433 29578 29723 29868 30013 30158
## [37981] 30303 30448 30593 30738 30883 31028 31173 31318 31463 31608 31753 31898
## [37993] 32043 32188 32333 32478 32623 32768 32913 33058 33203 33348 33493 33638
## [38005] 33783 33928 34073 34218 34363 34508 34653 34798 34943 35088 35233 35378
## [38017] 35523 35668 35813 35958 36103 36248 36393 36538 36683 36828 36973 37118
## [38029] 37263 37408 37553 37698 37843 37988 38133 38278 38423 38568 144 289
## [38041] 434 579 724 869 1014 1159 1304 1449 1594 1739 1884 2029
## [38053] 2174 2319 2464 2609 2754 2899 3044 3189 3334 3479 3624 3769
## [38065] 3914 4059 4204 4349 4494 4639 4784 4929 5074 5219 5364 5509
## [38077] 5654 5799 5944 6089 6234 6379 6524 6669 6814 6959 7104 7249
## [38089] 7394 7539 7684 7829 7974 8119 8264 8409 8554 8699 8844 8989
## [38101] 9134 9279 9424 9569 9714 9859 10004 10149 10294 10439 10584 10729
## [38113] 10874 11019 11164 11309 11454 11599 11744 11889 12034 12179 12324 12469
## [38125] 12614 12759 12904 13049 13194 13339 13484 13629 13774 13919 14064 14209
## [38137] 14354 14499 14644 14789 14934 15079 15224 15369 15514 15659 15804 15949
## [38149] 16094 16239 16384 16529 16674 16819 16964 17109 17254 17399 17544 17689
## [38161] 17834 17979 18124 18269 18414 18559 18704 18849 18994 19139 19284 19429
## [38173] 19574 19719 19864 20009 20154 20299 20444 20589 20734 20879 21024 21169
## [38185] 21314 21459 21604 21749 21894 22039 22184 22329 22474 22619 22764 22909
## [38197] 23054 23199 23344 23489 23634 23779 23924 24069 24214 24359 24504 24649
## [38209] 24794 24939 25084 25229 25374 25519 25664 25809 25954 26099 26244 26389
## [38221] 26534 26679 26824 26969 27114 27259 27404 27549 27694 27839 27984 28129
## [38233] 28274 28419 28564 28709 28854 28999 29144 29289 29434 29579 29724 29869
## [38245] 30014 30159 30304 30449 30594 30739 30884 31029 31174 31319 31464 31609
## [38257] 31754 31899 32044 32189 32334 32479 32624 32769 32914 33059 33204 33349
## [38269] 33494 33639 33784 33929 34074 34219 34364 34509 34654 34799 34944 35089
## [38281] 35234 35379 35524 35669 35814 35959 36104 36249 36394 36539 36684 36829
## [38293] 36974 37119 37264 37409 37554 37699 37844 37989 38134 38279 38424 38569
## [38305] 145 290 435 580 725 870 1015 1160 1305 1450 1595 1740
## [38317] 1885 2030 2175 2320 2465 2610 2755 2900 3045 3190 3335 3480
## [38329] 3625 3770 3915 4060 4205 4350 4495 4640 4785 4930 5075 5220
## [38341] 5365 5510 5655 5800 5945 6090 6235 6380 6525 6670 6815 6960
## [38353] 7105 7250 7395 7540 7685 7830 7975 8120 8265 8410 8555 8700
## [38365] 8845 8990 9135 9280 9425 9570 9715 9860 10005 10150 10295 10440
## [38377] 10585 10730 10875 11020 11165 11310 11455 11600 11745 11890 12035 12180
## [38389] 12325 12470 12615 12760 12905 13050 13195 13340 13485 13630 13775 13920
## [38401] 14065 14210 14355 14500 14645 14790 14935 15080 15225 15370 15515 15660
## [38413] 15805 15950 16095 16240 16385 16530 16675 16820 16965 17110 17255 17400
## [38425] 17545 17690 17835 17980 18125 18270 18415 18560 18705 18850 18995 19140
## [38437] 19285 19430 19575 19720 19865 20010 20155 20300 20445 20590 20735 20880
## [38449] 21025 21170 21315 21460 21605 21750 21895 22040 22185 22330 22475 22620
## [38461] 22765 22910 23055 23200 23345 23490 23635 23780 23925 24070 24215 24360
## [38473] 24505 24650 24795 24940 25085 25230 25375 25520 25665 25810 25955 26100
## [38485] 26245 26390 26535 26680 26825 26970 27115 27260 27405 27550 27695 27840
## [38497] 27985 28130 28275 28420 28565 28710 28855 29000 29145 29290 29435 29580
## [38509] 29725 29870 30015 30160 30305 30450 30595 30740 30885 31030 31175 31320
## [38521] 31465 31610 31755 31900 32045 32190 32335 32480 32625 32770 32915 33060
## [38533] 33205 33350 33495 33640 33785 33930 34075 34220 34365 34510 34655 34800
## [38545] 34945 35090 35235 35380 35525 35670 35815 35960 36105 36250 36395 36540
## [38557] 36685 36830 36975 37120 37265 37410 37555 37700 37845 37990 38135 38280
## [38569] 38425 38570
# Now, I repeat these steps for the deceased data.
Initial_Deceased_Wide <- read_csv("data/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv")
## Parsed with column specification:
## cols(
## .default = col_double(),
## `Province/State` = col_character(),
## `Country/Region` = col_character()
## )
## See spec(...) for full column specifications.
# We continue with the reshape.
Deceased_Long <- pivot_longer(Initial_Deceased_Wide, cols = c(5:149), names_to = "Dates", values_to = "Deceased")
require(reshape)
Deceased_Long$COUNTRY <- Deceased_Long$`Country/Region`
Deceased_Long$Date <- mdy(Deceased_Long$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
truncated = 0)
order(Deceased_Long$Date)
## [1] 1 146 291 436 581 726 871 1016 1161 1306 1451 1596
## [13] 1741 1886 2031 2176 2321 2466 2611 2756 2901 3046 3191 3336
## [25] 3481 3626 3771 3916 4061 4206 4351 4496 4641 4786 4931 5076
## [37] 5221 5366 5511 5656 5801 5946 6091 6236 6381 6526 6671 6816
## [49] 6961 7106 7251 7396 7541 7686 7831 7976 8121 8266 8411 8556
## [61] 8701 8846 8991 9136 9281 9426 9571 9716 9861 10006 10151 10296
## [73] 10441 10586 10731 10876 11021 11166 11311 11456 11601 11746 11891 12036
## [85] 12181 12326 12471 12616 12761 12906 13051 13196 13341 13486 13631 13776
## [97] 13921 14066 14211 14356 14501 14646 14791 14936 15081 15226 15371 15516
## [109] 15661 15806 15951 16096 16241 16386 16531 16676 16821 16966 17111 17256
## [121] 17401 17546 17691 17836 17981 18126 18271 18416 18561 18706 18851 18996
## [133] 19141 19286 19431 19576 19721 19866 20011 20156 20301 20446 20591 20736
## [145] 20881 21026 21171 21316 21461 21606 21751 21896 22041 22186 22331 22476
## [157] 22621 22766 22911 23056 23201 23346 23491 23636 23781 23926 24071 24216
## [169] 24361 24506 24651 24796 24941 25086 25231 25376 25521 25666 25811 25956
## [181] 26101 26246 26391 26536 26681 26826 26971 27116 27261 27406 27551 27696
## [193] 27841 27986 28131 28276 28421 28566 28711 28856 29001 29146 29291 29436
## [205] 29581 29726 29871 30016 30161 30306 30451 30596 30741 30886 31031 31176
## [217] 31321 31466 31611 31756 31901 32046 32191 32336 32481 32626 32771 32916
## [229] 33061 33206 33351 33496 33641 33786 33931 34076 34221 34366 34511 34656
## [241] 34801 34946 35091 35236 35381 35526 35671 35816 35961 36106 36251 36396
## [253] 36541 36686 36831 36976 37121 37266 37411 37556 37701 37846 37991 38136
## [265] 38281 38426 2 147 292 437 582 727 872 1017 1162 1307
## [277] 1452 1597 1742 1887 2032 2177 2322 2467 2612 2757 2902 3047
## [289] 3192 3337 3482 3627 3772 3917 4062 4207 4352 4497 4642 4787
## [301] 4932 5077 5222 5367 5512 5657 5802 5947 6092 6237 6382 6527
## [313] 6672 6817 6962 7107 7252 7397 7542 7687 7832 7977 8122 8267
## [325] 8412 8557 8702 8847 8992 9137 9282 9427 9572 9717 9862 10007
## [337] 10152 10297 10442 10587 10732 10877 11022 11167 11312 11457 11602 11747
## [349] 11892 12037 12182 12327 12472 12617 12762 12907 13052 13197 13342 13487
## [361] 13632 13777 13922 14067 14212 14357 14502 14647 14792 14937 15082 15227
## [373] 15372 15517 15662 15807 15952 16097 16242 16387 16532 16677 16822 16967
## [385] 17112 17257 17402 17547 17692 17837 17982 18127 18272 18417 18562 18707
## [397] 18852 18997 19142 19287 19432 19577 19722 19867 20012 20157 20302 20447
## [409] 20592 20737 20882 21027 21172 21317 21462 21607 21752 21897 22042 22187
## [421] 22332 22477 22622 22767 22912 23057 23202 23347 23492 23637 23782 23927
## [433] 24072 24217 24362 24507 24652 24797 24942 25087 25232 25377 25522 25667
## [445] 25812 25957 26102 26247 26392 26537 26682 26827 26972 27117 27262 27407
## [457] 27552 27697 27842 27987 28132 28277 28422 28567 28712 28857 29002 29147
## [469] 29292 29437 29582 29727 29872 30017 30162 30307 30452 30597 30742 30887
## [481] 31032 31177 31322 31467 31612 31757 31902 32047 32192 32337 32482 32627
## [493] 32772 32917 33062 33207 33352 33497 33642 33787 33932 34077 34222 34367
## [505] 34512 34657 34802 34947 35092 35237 35382 35527 35672 35817 35962 36107
## [517] 36252 36397 36542 36687 36832 36977 37122 37267 37412 37557 37702 37847
## [529] 37992 38137 38282 38427 3 148 293 438 583 728 873 1018
## [541] 1163 1308 1453 1598 1743 1888 2033 2178 2323 2468 2613 2758
## [553] 2903 3048 3193 3338 3483 3628 3773 3918 4063 4208 4353 4498
## [565] 4643 4788 4933 5078 5223 5368 5513 5658 5803 5948 6093 6238
## [577] 6383 6528 6673 6818 6963 7108 7253 7398 7543 7688 7833 7978
## [589] 8123 8268 8413 8558 8703 8848 8993 9138 9283 9428 9573 9718
## [601] 9863 10008 10153 10298 10443 10588 10733 10878 11023 11168 11313 11458
## [613] 11603 11748 11893 12038 12183 12328 12473 12618 12763 12908 13053 13198
## [625] 13343 13488 13633 13778 13923 14068 14213 14358 14503 14648 14793 14938
## [637] 15083 15228 15373 15518 15663 15808 15953 16098 16243 16388 16533 16678
## [649] 16823 16968 17113 17258 17403 17548 17693 17838 17983 18128 18273 18418
## [661] 18563 18708 18853 18998 19143 19288 19433 19578 19723 19868 20013 20158
## [673] 20303 20448 20593 20738 20883 21028 21173 21318 21463 21608 21753 21898
## [685] 22043 22188 22333 22478 22623 22768 22913 23058 23203 23348 23493 23638
## [697] 23783 23928 24073 24218 24363 24508 24653 24798 24943 25088 25233 25378
## [709] 25523 25668 25813 25958 26103 26248 26393 26538 26683 26828 26973 27118
## [721] 27263 27408 27553 27698 27843 27988 28133 28278 28423 28568 28713 28858
## [733] 29003 29148 29293 29438 29583 29728 29873 30018 30163 30308 30453 30598
## [745] 30743 30888 31033 31178 31323 31468 31613 31758 31903 32048 32193 32338
## [757] 32483 32628 32773 32918 33063 33208 33353 33498 33643 33788 33933 34078
## [769] 34223 34368 34513 34658 34803 34948 35093 35238 35383 35528 35673 35818
## [781] 35963 36108 36253 36398 36543 36688 36833 36978 37123 37268 37413 37558
## [793] 37703 37848 37993 38138 38283 38428 4 149 294 439 584 729
## [805] 874 1019 1164 1309 1454 1599 1744 1889 2034 2179 2324 2469
## [817] 2614 2759 2904 3049 3194 3339 3484 3629 3774 3919 4064 4209
## [829] 4354 4499 4644 4789 4934 5079 5224 5369 5514 5659 5804 5949
## [841] 6094 6239 6384 6529 6674 6819 6964 7109 7254 7399 7544 7689
## [853] 7834 7979 8124 8269 8414 8559 8704 8849 8994 9139 9284 9429
## [865] 9574 9719 9864 10009 10154 10299 10444 10589 10734 10879 11024 11169
## [877] 11314 11459 11604 11749 11894 12039 12184 12329 12474 12619 12764 12909
## [889] 13054 13199 13344 13489 13634 13779 13924 14069 14214 14359 14504 14649
## [901] 14794 14939 15084 15229 15374 15519 15664 15809 15954 16099 16244 16389
## [913] 16534 16679 16824 16969 17114 17259 17404 17549 17694 17839 17984 18129
## [925] 18274 18419 18564 18709 18854 18999 19144 19289 19434 19579 19724 19869
## [937] 20014 20159 20304 20449 20594 20739 20884 21029 21174 21319 21464 21609
## [949] 21754 21899 22044 22189 22334 22479 22624 22769 22914 23059 23204 23349
## [961] 23494 23639 23784 23929 24074 24219 24364 24509 24654 24799 24944 25089
## [973] 25234 25379 25524 25669 25814 25959 26104 26249 26394 26539 26684 26829
## [985] 26974 27119 27264 27409 27554 27699 27844 27989 28134 28279 28424 28569
## [997] 28714 28859 29004 29149 29294 29439 29584 29729 29874 30019 30164 30309
## [1009] 30454 30599 30744 30889 31034 31179 31324 31469 31614 31759 31904 32049
## [1021] 32194 32339 32484 32629 32774 32919 33064 33209 33354 33499 33644 33789
## [1033] 33934 34079 34224 34369 34514 34659 34804 34949 35094 35239 35384 35529
## [1045] 35674 35819 35964 36109 36254 36399 36544 36689 36834 36979 37124 37269
## [1057] 37414 37559 37704 37849 37994 38139 38284 38429 5 150 295 440
## [1069] 585 730 875 1020 1165 1310 1455 1600 1745 1890 2035 2180
## [1081] 2325 2470 2615 2760 2905 3050 3195 3340 3485 3630 3775 3920
## [1093] 4065 4210 4355 4500 4645 4790 4935 5080 5225 5370 5515 5660
## [1105] 5805 5950 6095 6240 6385 6530 6675 6820 6965 7110 7255 7400
## [1117] 7545 7690 7835 7980 8125 8270 8415 8560 8705 8850 8995 9140
## [1129] 9285 9430 9575 9720 9865 10010 10155 10300 10445 10590 10735 10880
## [1141] 11025 11170 11315 11460 11605 11750 11895 12040 12185 12330 12475 12620
## [1153] 12765 12910 13055 13200 13345 13490 13635 13780 13925 14070 14215 14360
## [1165] 14505 14650 14795 14940 15085 15230 15375 15520 15665 15810 15955 16100
## [1177] 16245 16390 16535 16680 16825 16970 17115 17260 17405 17550 17695 17840
## [1189] 17985 18130 18275 18420 18565 18710 18855 19000 19145 19290 19435 19580
## [1201] 19725 19870 20015 20160 20305 20450 20595 20740 20885 21030 21175 21320
## [1213] 21465 21610 21755 21900 22045 22190 22335 22480 22625 22770 22915 23060
## [1225] 23205 23350 23495 23640 23785 23930 24075 24220 24365 24510 24655 24800
## [1237] 24945 25090 25235 25380 25525 25670 25815 25960 26105 26250 26395 26540
## [1249] 26685 26830 26975 27120 27265 27410 27555 27700 27845 27990 28135 28280
## [1261] 28425 28570 28715 28860 29005 29150 29295 29440 29585 29730 29875 30020
## [1273] 30165 30310 30455 30600 30745 30890 31035 31180 31325 31470 31615 31760
## [1285] 31905 32050 32195 32340 32485 32630 32775 32920 33065 33210 33355 33500
## [1297] 33645 33790 33935 34080 34225 34370 34515 34660 34805 34950 35095 35240
## [1309] 35385 35530 35675 35820 35965 36110 36255 36400 36545 36690 36835 36980
## [1321] 37125 37270 37415 37560 37705 37850 37995 38140 38285 38430 6 151
## [1333] 296 441 586 731 876 1021 1166 1311 1456 1601 1746 1891
## [1345] 2036 2181 2326 2471 2616 2761 2906 3051 3196 3341 3486 3631
## [1357] 3776 3921 4066 4211 4356 4501 4646 4791 4936 5081 5226 5371
## [1369] 5516 5661 5806 5951 6096 6241 6386 6531 6676 6821 6966 7111
## [1381] 7256 7401 7546 7691 7836 7981 8126 8271 8416 8561 8706 8851
## [1393] 8996 9141 9286 9431 9576 9721 9866 10011 10156 10301 10446 10591
## [1405] 10736 10881 11026 11171 11316 11461 11606 11751 11896 12041 12186 12331
## [1417] 12476 12621 12766 12911 13056 13201 13346 13491 13636 13781 13926 14071
## [1429] 14216 14361 14506 14651 14796 14941 15086 15231 15376 15521 15666 15811
## [1441] 15956 16101 16246 16391 16536 16681 16826 16971 17116 17261 17406 17551
## [1453] 17696 17841 17986 18131 18276 18421 18566 18711 18856 19001 19146 19291
## [1465] 19436 19581 19726 19871 20016 20161 20306 20451 20596 20741 20886 21031
## [1477] 21176 21321 21466 21611 21756 21901 22046 22191 22336 22481 22626 22771
## [1489] 22916 23061 23206 23351 23496 23641 23786 23931 24076 24221 24366 24511
## [1501] 24656 24801 24946 25091 25236 25381 25526 25671 25816 25961 26106 26251
## [1513] 26396 26541 26686 26831 26976 27121 27266 27411 27556 27701 27846 27991
## [1525] 28136 28281 28426 28571 28716 28861 29006 29151 29296 29441 29586 29731
## [1537] 29876 30021 30166 30311 30456 30601 30746 30891 31036 31181 31326 31471
## [1549] 31616 31761 31906 32051 32196 32341 32486 32631 32776 32921 33066 33211
## [1561] 33356 33501 33646 33791 33936 34081 34226 34371 34516 34661 34806 34951
## [1573] 35096 35241 35386 35531 35676 35821 35966 36111 36256 36401 36546 36691
## [1585] 36836 36981 37126 37271 37416 37561 37706 37851 37996 38141 38286 38431
## [1597] 7 152 297 442 587 732 877 1022 1167 1312 1457 1602
## [1609] 1747 1892 2037 2182 2327 2472 2617 2762 2907 3052 3197 3342
## [1621] 3487 3632 3777 3922 4067 4212 4357 4502 4647 4792 4937 5082
## [1633] 5227 5372 5517 5662 5807 5952 6097 6242 6387 6532 6677 6822
## [1645] 6967 7112 7257 7402 7547 7692 7837 7982 8127 8272 8417 8562
## [1657] 8707 8852 8997 9142 9287 9432 9577 9722 9867 10012 10157 10302
## [1669] 10447 10592 10737 10882 11027 11172 11317 11462 11607 11752 11897 12042
## [1681] 12187 12332 12477 12622 12767 12912 13057 13202 13347 13492 13637 13782
## [1693] 13927 14072 14217 14362 14507 14652 14797 14942 15087 15232 15377 15522
## [1705] 15667 15812 15957 16102 16247 16392 16537 16682 16827 16972 17117 17262
## [1717] 17407 17552 17697 17842 17987 18132 18277 18422 18567 18712 18857 19002
## [1729] 19147 19292 19437 19582 19727 19872 20017 20162 20307 20452 20597 20742
## [1741] 20887 21032 21177 21322 21467 21612 21757 21902 22047 22192 22337 22482
## [1753] 22627 22772 22917 23062 23207 23352 23497 23642 23787 23932 24077 24222
## [1765] 24367 24512 24657 24802 24947 25092 25237 25382 25527 25672 25817 25962
## [1777] 26107 26252 26397 26542 26687 26832 26977 27122 27267 27412 27557 27702
## [1789] 27847 27992 28137 28282 28427 28572 28717 28862 29007 29152 29297 29442
## [1801] 29587 29732 29877 30022 30167 30312 30457 30602 30747 30892 31037 31182
## [1813] 31327 31472 31617 31762 31907 32052 32197 32342 32487 32632 32777 32922
## [1825] 33067 33212 33357 33502 33647 33792 33937 34082 34227 34372 34517 34662
## [1837] 34807 34952 35097 35242 35387 35532 35677 35822 35967 36112 36257 36402
## [1849] 36547 36692 36837 36982 37127 37272 37417 37562 37707 37852 37997 38142
## [1861] 38287 38432 8 153 298 443 588 733 878 1023 1168 1313
## [1873] 1458 1603 1748 1893 2038 2183 2328 2473 2618 2763 2908 3053
## [1885] 3198 3343 3488 3633 3778 3923 4068 4213 4358 4503 4648 4793
## [1897] 4938 5083 5228 5373 5518 5663 5808 5953 6098 6243 6388 6533
## [1909] 6678 6823 6968 7113 7258 7403 7548 7693 7838 7983 8128 8273
## [1921] 8418 8563 8708 8853 8998 9143 9288 9433 9578 9723 9868 10013
## [1933] 10158 10303 10448 10593 10738 10883 11028 11173 11318 11463 11608 11753
## [1945] 11898 12043 12188 12333 12478 12623 12768 12913 13058 13203 13348 13493
## [1957] 13638 13783 13928 14073 14218 14363 14508 14653 14798 14943 15088 15233
## [1969] 15378 15523 15668 15813 15958 16103 16248 16393 16538 16683 16828 16973
## [1981] 17118 17263 17408 17553 17698 17843 17988 18133 18278 18423 18568 18713
## [1993] 18858 19003 19148 19293 19438 19583 19728 19873 20018 20163 20308 20453
## [2005] 20598 20743 20888 21033 21178 21323 21468 21613 21758 21903 22048 22193
## [2017] 22338 22483 22628 22773 22918 23063 23208 23353 23498 23643 23788 23933
## [2029] 24078 24223 24368 24513 24658 24803 24948 25093 25238 25383 25528 25673
## [2041] 25818 25963 26108 26253 26398 26543 26688 26833 26978 27123 27268 27413
## [2053] 27558 27703 27848 27993 28138 28283 28428 28573 28718 28863 29008 29153
## [2065] 29298 29443 29588 29733 29878 30023 30168 30313 30458 30603 30748 30893
## [2077] 31038 31183 31328 31473 31618 31763 31908 32053 32198 32343 32488 32633
## [2089] 32778 32923 33068 33213 33358 33503 33648 33793 33938 34083 34228 34373
## [2101] 34518 34663 34808 34953 35098 35243 35388 35533 35678 35823 35968 36113
## [2113] 36258 36403 36548 36693 36838 36983 37128 37273 37418 37563 37708 37853
## [2125] 37998 38143 38288 38433 9 154 299 444 589 734 879 1024
## [2137] 1169 1314 1459 1604 1749 1894 2039 2184 2329 2474 2619 2764
## [2149] 2909 3054 3199 3344 3489 3634 3779 3924 4069 4214 4359 4504
## [2161] 4649 4794 4939 5084 5229 5374 5519 5664 5809 5954 6099 6244
## [2173] 6389 6534 6679 6824 6969 7114 7259 7404 7549 7694 7839 7984
## [2185] 8129 8274 8419 8564 8709 8854 8999 9144 9289 9434 9579 9724
## [2197] 9869 10014 10159 10304 10449 10594 10739 10884 11029 11174 11319 11464
## [2209] 11609 11754 11899 12044 12189 12334 12479 12624 12769 12914 13059 13204
## [2221] 13349 13494 13639 13784 13929 14074 14219 14364 14509 14654 14799 14944
## [2233] 15089 15234 15379 15524 15669 15814 15959 16104 16249 16394 16539 16684
## [2245] 16829 16974 17119 17264 17409 17554 17699 17844 17989 18134 18279 18424
## [2257] 18569 18714 18859 19004 19149 19294 19439 19584 19729 19874 20019 20164
## [2269] 20309 20454 20599 20744 20889 21034 21179 21324 21469 21614 21759 21904
## [2281] 22049 22194 22339 22484 22629 22774 22919 23064 23209 23354 23499 23644
## [2293] 23789 23934 24079 24224 24369 24514 24659 24804 24949 25094 25239 25384
## [2305] 25529 25674 25819 25964 26109 26254 26399 26544 26689 26834 26979 27124
## [2317] 27269 27414 27559 27704 27849 27994 28139 28284 28429 28574 28719 28864
## [2329] 29009 29154 29299 29444 29589 29734 29879 30024 30169 30314 30459 30604
## [2341] 30749 30894 31039 31184 31329 31474 31619 31764 31909 32054 32199 32344
## [2353] 32489 32634 32779 32924 33069 33214 33359 33504 33649 33794 33939 34084
## [2365] 34229 34374 34519 34664 34809 34954 35099 35244 35389 35534 35679 35824
## [2377] 35969 36114 36259 36404 36549 36694 36839 36984 37129 37274 37419 37564
## [2389] 37709 37854 37999 38144 38289 38434 10 155 300 445 590 735
## [2401] 880 1025 1170 1315 1460 1605 1750 1895 2040 2185 2330 2475
## [2413] 2620 2765 2910 3055 3200 3345 3490 3635 3780 3925 4070 4215
## [2425] 4360 4505 4650 4795 4940 5085 5230 5375 5520 5665 5810 5955
## [2437] 6100 6245 6390 6535 6680 6825 6970 7115 7260 7405 7550 7695
## [2449] 7840 7985 8130 8275 8420 8565 8710 8855 9000 9145 9290 9435
## [2461] 9580 9725 9870 10015 10160 10305 10450 10595 10740 10885 11030 11175
## [2473] 11320 11465 11610 11755 11900 12045 12190 12335 12480 12625 12770 12915
## [2485] 13060 13205 13350 13495 13640 13785 13930 14075 14220 14365 14510 14655
## [2497] 14800 14945 15090 15235 15380 15525 15670 15815 15960 16105 16250 16395
## [2509] 16540 16685 16830 16975 17120 17265 17410 17555 17700 17845 17990 18135
## [2521] 18280 18425 18570 18715 18860 19005 19150 19295 19440 19585 19730 19875
## [2533] 20020 20165 20310 20455 20600 20745 20890 21035 21180 21325 21470 21615
## [2545] 21760 21905 22050 22195 22340 22485 22630 22775 22920 23065 23210 23355
## [2557] 23500 23645 23790 23935 24080 24225 24370 24515 24660 24805 24950 25095
## [2569] 25240 25385 25530 25675 25820 25965 26110 26255 26400 26545 26690 26835
## [2581] 26980 27125 27270 27415 27560 27705 27850 27995 28140 28285 28430 28575
## [2593] 28720 28865 29010 29155 29300 29445 29590 29735 29880 30025 30170 30315
## [2605] 30460 30605 30750 30895 31040 31185 31330 31475 31620 31765 31910 32055
## [2617] 32200 32345 32490 32635 32780 32925 33070 33215 33360 33505 33650 33795
## [2629] 33940 34085 34230 34375 34520 34665 34810 34955 35100 35245 35390 35535
## [2641] 35680 35825 35970 36115 36260 36405 36550 36695 36840 36985 37130 37275
## [2653] 37420 37565 37710 37855 38000 38145 38290 38435 11 156 301 446
## [2665] 591 736 881 1026 1171 1316 1461 1606 1751 1896 2041 2186
## [2677] 2331 2476 2621 2766 2911 3056 3201 3346 3491 3636 3781 3926
## [2689] 4071 4216 4361 4506 4651 4796 4941 5086 5231 5376 5521 5666
## [2701] 5811 5956 6101 6246 6391 6536 6681 6826 6971 7116 7261 7406
## [2713] 7551 7696 7841 7986 8131 8276 8421 8566 8711 8856 9001 9146
## [2725] 9291 9436 9581 9726 9871 10016 10161 10306 10451 10596 10741 10886
## [2737] 11031 11176 11321 11466 11611 11756 11901 12046 12191 12336 12481 12626
## [2749] 12771 12916 13061 13206 13351 13496 13641 13786 13931 14076 14221 14366
## [2761] 14511 14656 14801 14946 15091 15236 15381 15526 15671 15816 15961 16106
## [2773] 16251 16396 16541 16686 16831 16976 17121 17266 17411 17556 17701 17846
## [2785] 17991 18136 18281 18426 18571 18716 18861 19006 19151 19296 19441 19586
## [2797] 19731 19876 20021 20166 20311 20456 20601 20746 20891 21036 21181 21326
## [2809] 21471 21616 21761 21906 22051 22196 22341 22486 22631 22776 22921 23066
## [2821] 23211 23356 23501 23646 23791 23936 24081 24226 24371 24516 24661 24806
## [2833] 24951 25096 25241 25386 25531 25676 25821 25966 26111 26256 26401 26546
## [2845] 26691 26836 26981 27126 27271 27416 27561 27706 27851 27996 28141 28286
## [2857] 28431 28576 28721 28866 29011 29156 29301 29446 29591 29736 29881 30026
## [2869] 30171 30316 30461 30606 30751 30896 31041 31186 31331 31476 31621 31766
## [2881] 31911 32056 32201 32346 32491 32636 32781 32926 33071 33216 33361 33506
## [2893] 33651 33796 33941 34086 34231 34376 34521 34666 34811 34956 35101 35246
## [2905] 35391 35536 35681 35826 35971 36116 36261 36406 36551 36696 36841 36986
## [2917] 37131 37276 37421 37566 37711 37856 38001 38146 38291 38436 12 157
## [2929] 302 447 592 737 882 1027 1172 1317 1462 1607 1752 1897
## [2941] 2042 2187 2332 2477 2622 2767 2912 3057 3202 3347 3492 3637
## [2953] 3782 3927 4072 4217 4362 4507 4652 4797 4942 5087 5232 5377
## [2965] 5522 5667 5812 5957 6102 6247 6392 6537 6682 6827 6972 7117
## [2977] 7262 7407 7552 7697 7842 7987 8132 8277 8422 8567 8712 8857
## [2989] 9002 9147 9292 9437 9582 9727 9872 10017 10162 10307 10452 10597
## [3001] 10742 10887 11032 11177 11322 11467 11612 11757 11902 12047 12192 12337
## [3013] 12482 12627 12772 12917 13062 13207 13352 13497 13642 13787 13932 14077
## [3025] 14222 14367 14512 14657 14802 14947 15092 15237 15382 15527 15672 15817
## [3037] 15962 16107 16252 16397 16542 16687 16832 16977 17122 17267 17412 17557
## [3049] 17702 17847 17992 18137 18282 18427 18572 18717 18862 19007 19152 19297
## [3061] 19442 19587 19732 19877 20022 20167 20312 20457 20602 20747 20892 21037
## [3073] 21182 21327 21472 21617 21762 21907 22052 22197 22342 22487 22632 22777
## [3085] 22922 23067 23212 23357 23502 23647 23792 23937 24082 24227 24372 24517
## [3097] 24662 24807 24952 25097 25242 25387 25532 25677 25822 25967 26112 26257
## [3109] 26402 26547 26692 26837 26982 27127 27272 27417 27562 27707 27852 27997
## [3121] 28142 28287 28432 28577 28722 28867 29012 29157 29302 29447 29592 29737
## [3133] 29882 30027 30172 30317 30462 30607 30752 30897 31042 31187 31332 31477
## [3145] 31622 31767 31912 32057 32202 32347 32492 32637 32782 32927 33072 33217
## [3157] 33362 33507 33652 33797 33942 34087 34232 34377 34522 34667 34812 34957
## [3169] 35102 35247 35392 35537 35682 35827 35972 36117 36262 36407 36552 36697
## [3181] 36842 36987 37132 37277 37422 37567 37712 37857 38002 38147 38292 38437
## [3193] 13 158 303 448 593 738 883 1028 1173 1318 1463 1608
## [3205] 1753 1898 2043 2188 2333 2478 2623 2768 2913 3058 3203 3348
## [3217] 3493 3638 3783 3928 4073 4218 4363 4508 4653 4798 4943 5088
## [3229] 5233 5378 5523 5668 5813 5958 6103 6248 6393 6538 6683 6828
## [3241] 6973 7118 7263 7408 7553 7698 7843 7988 8133 8278 8423 8568
## [3253] 8713 8858 9003 9148 9293 9438 9583 9728 9873 10018 10163 10308
## [3265] 10453 10598 10743 10888 11033 11178 11323 11468 11613 11758 11903 12048
## [3277] 12193 12338 12483 12628 12773 12918 13063 13208 13353 13498 13643 13788
## [3289] 13933 14078 14223 14368 14513 14658 14803 14948 15093 15238 15383 15528
## [3301] 15673 15818 15963 16108 16253 16398 16543 16688 16833 16978 17123 17268
## [3313] 17413 17558 17703 17848 17993 18138 18283 18428 18573 18718 18863 19008
## [3325] 19153 19298 19443 19588 19733 19878 20023 20168 20313 20458 20603 20748
## [3337] 20893 21038 21183 21328 21473 21618 21763 21908 22053 22198 22343 22488
## [3349] 22633 22778 22923 23068 23213 23358 23503 23648 23793 23938 24083 24228
## [3361] 24373 24518 24663 24808 24953 25098 25243 25388 25533 25678 25823 25968
## [3373] 26113 26258 26403 26548 26693 26838 26983 27128 27273 27418 27563 27708
## [3385] 27853 27998 28143 28288 28433 28578 28723 28868 29013 29158 29303 29448
## [3397] 29593 29738 29883 30028 30173 30318 30463 30608 30753 30898 31043 31188
## [3409] 31333 31478 31623 31768 31913 32058 32203 32348 32493 32638 32783 32928
## [3421] 33073 33218 33363 33508 33653 33798 33943 34088 34233 34378 34523 34668
## [3433] 34813 34958 35103 35248 35393 35538 35683 35828 35973 36118 36263 36408
## [3445] 36553 36698 36843 36988 37133 37278 37423 37568 37713 37858 38003 38148
## [3457] 38293 38438 14 159 304 449 594 739 884 1029 1174 1319
## [3469] 1464 1609 1754 1899 2044 2189 2334 2479 2624 2769 2914 3059
## [3481] 3204 3349 3494 3639 3784 3929 4074 4219 4364 4509 4654 4799
## [3493] 4944 5089 5234 5379 5524 5669 5814 5959 6104 6249 6394 6539
## [3505] 6684 6829 6974 7119 7264 7409 7554 7699 7844 7989 8134 8279
## [3517] 8424 8569 8714 8859 9004 9149 9294 9439 9584 9729 9874 10019
## [3529] 10164 10309 10454 10599 10744 10889 11034 11179 11324 11469 11614 11759
## [3541] 11904 12049 12194 12339 12484 12629 12774 12919 13064 13209 13354 13499
## [3553] 13644 13789 13934 14079 14224 14369 14514 14659 14804 14949 15094 15239
## [3565] 15384 15529 15674 15819 15964 16109 16254 16399 16544 16689 16834 16979
## [3577] 17124 17269 17414 17559 17704 17849 17994 18139 18284 18429 18574 18719
## [3589] 18864 19009 19154 19299 19444 19589 19734 19879 20024 20169 20314 20459
## [3601] 20604 20749 20894 21039 21184 21329 21474 21619 21764 21909 22054 22199
## [3613] 22344 22489 22634 22779 22924 23069 23214 23359 23504 23649 23794 23939
## [3625] 24084 24229 24374 24519 24664 24809 24954 25099 25244 25389 25534 25679
## [3637] 25824 25969 26114 26259 26404 26549 26694 26839 26984 27129 27274 27419
## [3649] 27564 27709 27854 27999 28144 28289 28434 28579 28724 28869 29014 29159
## [3661] 29304 29449 29594 29739 29884 30029 30174 30319 30464 30609 30754 30899
## [3673] 31044 31189 31334 31479 31624 31769 31914 32059 32204 32349 32494 32639
## [3685] 32784 32929 33074 33219 33364 33509 33654 33799 33944 34089 34234 34379
## [3697] 34524 34669 34814 34959 35104 35249 35394 35539 35684 35829 35974 36119
## [3709] 36264 36409 36554 36699 36844 36989 37134 37279 37424 37569 37714 37859
## [3721] 38004 38149 38294 38439 15 160 305 450 595 740 885 1030
## [3733] 1175 1320 1465 1610 1755 1900 2045 2190 2335 2480 2625 2770
## [3745] 2915 3060 3205 3350 3495 3640 3785 3930 4075 4220 4365 4510
## [3757] 4655 4800 4945 5090 5235 5380 5525 5670 5815 5960 6105 6250
## [3769] 6395 6540 6685 6830 6975 7120 7265 7410 7555 7700 7845 7990
## [3781] 8135 8280 8425 8570 8715 8860 9005 9150 9295 9440 9585 9730
## [3793] 9875 10020 10165 10310 10455 10600 10745 10890 11035 11180 11325 11470
## [3805] 11615 11760 11905 12050 12195 12340 12485 12630 12775 12920 13065 13210
## [3817] 13355 13500 13645 13790 13935 14080 14225 14370 14515 14660 14805 14950
## [3829] 15095 15240 15385 15530 15675 15820 15965 16110 16255 16400 16545 16690
## [3841] 16835 16980 17125 17270 17415 17560 17705 17850 17995 18140 18285 18430
## [3853] 18575 18720 18865 19010 19155 19300 19445 19590 19735 19880 20025 20170
## [3865] 20315 20460 20605 20750 20895 21040 21185 21330 21475 21620 21765 21910
## [3877] 22055 22200 22345 22490 22635 22780 22925 23070 23215 23360 23505 23650
## [3889] 23795 23940 24085 24230 24375 24520 24665 24810 24955 25100 25245 25390
## [3901] 25535 25680 25825 25970 26115 26260 26405 26550 26695 26840 26985 27130
## [3913] 27275 27420 27565 27710 27855 28000 28145 28290 28435 28580 28725 28870
## [3925] 29015 29160 29305 29450 29595 29740 29885 30030 30175 30320 30465 30610
## [3937] 30755 30900 31045 31190 31335 31480 31625 31770 31915 32060 32205 32350
## [3949] 32495 32640 32785 32930 33075 33220 33365 33510 33655 33800 33945 34090
## [3961] 34235 34380 34525 34670 34815 34960 35105 35250 35395 35540 35685 35830
## [3973] 35975 36120 36265 36410 36555 36700 36845 36990 37135 37280 37425 37570
## [3985] 37715 37860 38005 38150 38295 38440 16 161 306 451 596 741
## [3997] 886 1031 1176 1321 1466 1611 1756 1901 2046 2191 2336 2481
## [4009] 2626 2771 2916 3061 3206 3351 3496 3641 3786 3931 4076 4221
## [4021] 4366 4511 4656 4801 4946 5091 5236 5381 5526 5671 5816 5961
## [4033] 6106 6251 6396 6541 6686 6831 6976 7121 7266 7411 7556 7701
## [4045] 7846 7991 8136 8281 8426 8571 8716 8861 9006 9151 9296 9441
## [4057] 9586 9731 9876 10021 10166 10311 10456 10601 10746 10891 11036 11181
## [4069] 11326 11471 11616 11761 11906 12051 12196 12341 12486 12631 12776 12921
## [4081] 13066 13211 13356 13501 13646 13791 13936 14081 14226 14371 14516 14661
## [4093] 14806 14951 15096 15241 15386 15531 15676 15821 15966 16111 16256 16401
## [4105] 16546 16691 16836 16981 17126 17271 17416 17561 17706 17851 17996 18141
## [4117] 18286 18431 18576 18721 18866 19011 19156 19301 19446 19591 19736 19881
## [4129] 20026 20171 20316 20461 20606 20751 20896 21041 21186 21331 21476 21621
## [4141] 21766 21911 22056 22201 22346 22491 22636 22781 22926 23071 23216 23361
## [4153] 23506 23651 23796 23941 24086 24231 24376 24521 24666 24811 24956 25101
## [4165] 25246 25391 25536 25681 25826 25971 26116 26261 26406 26551 26696 26841
## [4177] 26986 27131 27276 27421 27566 27711 27856 28001 28146 28291 28436 28581
## [4189] 28726 28871 29016 29161 29306 29451 29596 29741 29886 30031 30176 30321
## [4201] 30466 30611 30756 30901 31046 31191 31336 31481 31626 31771 31916 32061
## [4213] 32206 32351 32496 32641 32786 32931 33076 33221 33366 33511 33656 33801
## [4225] 33946 34091 34236 34381 34526 34671 34816 34961 35106 35251 35396 35541
## [4237] 35686 35831 35976 36121 36266 36411 36556 36701 36846 36991 37136 37281
## [4249] 37426 37571 37716 37861 38006 38151 38296 38441 17 162 307 452
## [4261] 597 742 887 1032 1177 1322 1467 1612 1757 1902 2047 2192
## [4273] 2337 2482 2627 2772 2917 3062 3207 3352 3497 3642 3787 3932
## [4285] 4077 4222 4367 4512 4657 4802 4947 5092 5237 5382 5527 5672
## [4297] 5817 5962 6107 6252 6397 6542 6687 6832 6977 7122 7267 7412
## [4309] 7557 7702 7847 7992 8137 8282 8427 8572 8717 8862 9007 9152
## [4321] 9297 9442 9587 9732 9877 10022 10167 10312 10457 10602 10747 10892
## [4333] 11037 11182 11327 11472 11617 11762 11907 12052 12197 12342 12487 12632
## [4345] 12777 12922 13067 13212 13357 13502 13647 13792 13937 14082 14227 14372
## [4357] 14517 14662 14807 14952 15097 15242 15387 15532 15677 15822 15967 16112
## [4369] 16257 16402 16547 16692 16837 16982 17127 17272 17417 17562 17707 17852
## [4381] 17997 18142 18287 18432 18577 18722 18867 19012 19157 19302 19447 19592
## [4393] 19737 19882 20027 20172 20317 20462 20607 20752 20897 21042 21187 21332
## [4405] 21477 21622 21767 21912 22057 22202 22347 22492 22637 22782 22927 23072
## [4417] 23217 23362 23507 23652 23797 23942 24087 24232 24377 24522 24667 24812
## [4429] 24957 25102 25247 25392 25537 25682 25827 25972 26117 26262 26407 26552
## [4441] 26697 26842 26987 27132 27277 27422 27567 27712 27857 28002 28147 28292
## [4453] 28437 28582 28727 28872 29017 29162 29307 29452 29597 29742 29887 30032
## [4465] 30177 30322 30467 30612 30757 30902 31047 31192 31337 31482 31627 31772
## [4477] 31917 32062 32207 32352 32497 32642 32787 32932 33077 33222 33367 33512
## [4489] 33657 33802 33947 34092 34237 34382 34527 34672 34817 34962 35107 35252
## [4501] 35397 35542 35687 35832 35977 36122 36267 36412 36557 36702 36847 36992
## [4513] 37137 37282 37427 37572 37717 37862 38007 38152 38297 38442 18 163
## [4525] 308 453 598 743 888 1033 1178 1323 1468 1613 1758 1903
## [4537] 2048 2193 2338 2483 2628 2773 2918 3063 3208 3353 3498 3643
## [4549] 3788 3933 4078 4223 4368 4513 4658 4803 4948 5093 5238 5383
## [4561] 5528 5673 5818 5963 6108 6253 6398 6543 6688 6833 6978 7123
## [4573] 7268 7413 7558 7703 7848 7993 8138 8283 8428 8573 8718 8863
## [4585] 9008 9153 9298 9443 9588 9733 9878 10023 10168 10313 10458 10603
## [4597] 10748 10893 11038 11183 11328 11473 11618 11763 11908 12053 12198 12343
## [4609] 12488 12633 12778 12923 13068 13213 13358 13503 13648 13793 13938 14083
## [4621] 14228 14373 14518 14663 14808 14953 15098 15243 15388 15533 15678 15823
## [4633] 15968 16113 16258 16403 16548 16693 16838 16983 17128 17273 17418 17563
## [4645] 17708 17853 17998 18143 18288 18433 18578 18723 18868 19013 19158 19303
## [4657] 19448 19593 19738 19883 20028 20173 20318 20463 20608 20753 20898 21043
## [4669] 21188 21333 21478 21623 21768 21913 22058 22203 22348 22493 22638 22783
## [4681] 22928 23073 23218 23363 23508 23653 23798 23943 24088 24233 24378 24523
## [4693] 24668 24813 24958 25103 25248 25393 25538 25683 25828 25973 26118 26263
## [4705] 26408 26553 26698 26843 26988 27133 27278 27423 27568 27713 27858 28003
## [4717] 28148 28293 28438 28583 28728 28873 29018 29163 29308 29453 29598 29743
## [4729] 29888 30033 30178 30323 30468 30613 30758 30903 31048 31193 31338 31483
## [4741] 31628 31773 31918 32063 32208 32353 32498 32643 32788 32933 33078 33223
## [4753] 33368 33513 33658 33803 33948 34093 34238 34383 34528 34673 34818 34963
## [4765] 35108 35253 35398 35543 35688 35833 35978 36123 36268 36413 36558 36703
## [4777] 36848 36993 37138 37283 37428 37573 37718 37863 38008 38153 38298 38443
## [4789] 19 164 309 454 599 744 889 1034 1179 1324 1469 1614
## [4801] 1759 1904 2049 2194 2339 2484 2629 2774 2919 3064 3209 3354
## [4813] 3499 3644 3789 3934 4079 4224 4369 4514 4659 4804 4949 5094
## [4825] 5239 5384 5529 5674 5819 5964 6109 6254 6399 6544 6689 6834
## [4837] 6979 7124 7269 7414 7559 7704 7849 7994 8139 8284 8429 8574
## [4849] 8719 8864 9009 9154 9299 9444 9589 9734 9879 10024 10169 10314
## [4861] 10459 10604 10749 10894 11039 11184 11329 11474 11619 11764 11909 12054
## [4873] 12199 12344 12489 12634 12779 12924 13069 13214 13359 13504 13649 13794
## [4885] 13939 14084 14229 14374 14519 14664 14809 14954 15099 15244 15389 15534
## [4897] 15679 15824 15969 16114 16259 16404 16549 16694 16839 16984 17129 17274
## [4909] 17419 17564 17709 17854 17999 18144 18289 18434 18579 18724 18869 19014
## [4921] 19159 19304 19449 19594 19739 19884 20029 20174 20319 20464 20609 20754
## [4933] 20899 21044 21189 21334 21479 21624 21769 21914 22059 22204 22349 22494
## [4945] 22639 22784 22929 23074 23219 23364 23509 23654 23799 23944 24089 24234
## [4957] 24379 24524 24669 24814 24959 25104 25249 25394 25539 25684 25829 25974
## [4969] 26119 26264 26409 26554 26699 26844 26989 27134 27279 27424 27569 27714
## [4981] 27859 28004 28149 28294 28439 28584 28729 28874 29019 29164 29309 29454
## [4993] 29599 29744 29889 30034 30179 30324 30469 30614 30759 30904 31049 31194
## [5005] 31339 31484 31629 31774 31919 32064 32209 32354 32499 32644 32789 32934
## [5017] 33079 33224 33369 33514 33659 33804 33949 34094 34239 34384 34529 34674
## [5029] 34819 34964 35109 35254 35399 35544 35689 35834 35979 36124 36269 36414
## [5041] 36559 36704 36849 36994 37139 37284 37429 37574 37719 37864 38009 38154
## [5053] 38299 38444 20 165 310 455 600 745 890 1035 1180 1325
## [5065] 1470 1615 1760 1905 2050 2195 2340 2485 2630 2775 2920 3065
## [5077] 3210 3355 3500 3645 3790 3935 4080 4225 4370 4515 4660 4805
## [5089] 4950 5095 5240 5385 5530 5675 5820 5965 6110 6255 6400 6545
## [5101] 6690 6835 6980 7125 7270 7415 7560 7705 7850 7995 8140 8285
## [5113] 8430 8575 8720 8865 9010 9155 9300 9445 9590 9735 9880 10025
## [5125] 10170 10315 10460 10605 10750 10895 11040 11185 11330 11475 11620 11765
## [5137] 11910 12055 12200 12345 12490 12635 12780 12925 13070 13215 13360 13505
## [5149] 13650 13795 13940 14085 14230 14375 14520 14665 14810 14955 15100 15245
## [5161] 15390 15535 15680 15825 15970 16115 16260 16405 16550 16695 16840 16985
## [5173] 17130 17275 17420 17565 17710 17855 18000 18145 18290 18435 18580 18725
## [5185] 18870 19015 19160 19305 19450 19595 19740 19885 20030 20175 20320 20465
## [5197] 20610 20755 20900 21045 21190 21335 21480 21625 21770 21915 22060 22205
## [5209] 22350 22495 22640 22785 22930 23075 23220 23365 23510 23655 23800 23945
## [5221] 24090 24235 24380 24525 24670 24815 24960 25105 25250 25395 25540 25685
## [5233] 25830 25975 26120 26265 26410 26555 26700 26845 26990 27135 27280 27425
## [5245] 27570 27715 27860 28005 28150 28295 28440 28585 28730 28875 29020 29165
## [5257] 29310 29455 29600 29745 29890 30035 30180 30325 30470 30615 30760 30905
## [5269] 31050 31195 31340 31485 31630 31775 31920 32065 32210 32355 32500 32645
## [5281] 32790 32935 33080 33225 33370 33515 33660 33805 33950 34095 34240 34385
## [5293] 34530 34675 34820 34965 35110 35255 35400 35545 35690 35835 35980 36125
## [5305] 36270 36415 36560 36705 36850 36995 37140 37285 37430 37575 37720 37865
## [5317] 38010 38155 38300 38445 21 166 311 456 601 746 891 1036
## [5329] 1181 1326 1471 1616 1761 1906 2051 2196 2341 2486 2631 2776
## [5341] 2921 3066 3211 3356 3501 3646 3791 3936 4081 4226 4371 4516
## [5353] 4661 4806 4951 5096 5241 5386 5531 5676 5821 5966 6111 6256
## [5365] 6401 6546 6691 6836 6981 7126 7271 7416 7561 7706 7851 7996
## [5377] 8141 8286 8431 8576 8721 8866 9011 9156 9301 9446 9591 9736
## [5389] 9881 10026 10171 10316 10461 10606 10751 10896 11041 11186 11331 11476
## [5401] 11621 11766 11911 12056 12201 12346 12491 12636 12781 12926 13071 13216
## [5413] 13361 13506 13651 13796 13941 14086 14231 14376 14521 14666 14811 14956
## [5425] 15101 15246 15391 15536 15681 15826 15971 16116 16261 16406 16551 16696
## [5437] 16841 16986 17131 17276 17421 17566 17711 17856 18001 18146 18291 18436
## [5449] 18581 18726 18871 19016 19161 19306 19451 19596 19741 19886 20031 20176
## [5461] 20321 20466 20611 20756 20901 21046 21191 21336 21481 21626 21771 21916
## [5473] 22061 22206 22351 22496 22641 22786 22931 23076 23221 23366 23511 23656
## [5485] 23801 23946 24091 24236 24381 24526 24671 24816 24961 25106 25251 25396
## [5497] 25541 25686 25831 25976 26121 26266 26411 26556 26701 26846 26991 27136
## [5509] 27281 27426 27571 27716 27861 28006 28151 28296 28441 28586 28731 28876
## [5521] 29021 29166 29311 29456 29601 29746 29891 30036 30181 30326 30471 30616
## [5533] 30761 30906 31051 31196 31341 31486 31631 31776 31921 32066 32211 32356
## [5545] 32501 32646 32791 32936 33081 33226 33371 33516 33661 33806 33951 34096
## [5557] 34241 34386 34531 34676 34821 34966 35111 35256 35401 35546 35691 35836
## [5569] 35981 36126 36271 36416 36561 36706 36851 36996 37141 37286 37431 37576
## [5581] 37721 37866 38011 38156 38301 38446 22 167 312 457 602 747
## [5593] 892 1037 1182 1327 1472 1617 1762 1907 2052 2197 2342 2487
## [5605] 2632 2777 2922 3067 3212 3357 3502 3647 3792 3937 4082 4227
## [5617] 4372 4517 4662 4807 4952 5097 5242 5387 5532 5677 5822 5967
## [5629] 6112 6257 6402 6547 6692 6837 6982 7127 7272 7417 7562 7707
## [5641] 7852 7997 8142 8287 8432 8577 8722 8867 9012 9157 9302 9447
## [5653] 9592 9737 9882 10027 10172 10317 10462 10607 10752 10897 11042 11187
## [5665] 11332 11477 11622 11767 11912 12057 12202 12347 12492 12637 12782 12927
## [5677] 13072 13217 13362 13507 13652 13797 13942 14087 14232 14377 14522 14667
## [5689] 14812 14957 15102 15247 15392 15537 15682 15827 15972 16117 16262 16407
## [5701] 16552 16697 16842 16987 17132 17277 17422 17567 17712 17857 18002 18147
## [5713] 18292 18437 18582 18727 18872 19017 19162 19307 19452 19597 19742 19887
## [5725] 20032 20177 20322 20467 20612 20757 20902 21047 21192 21337 21482 21627
## [5737] 21772 21917 22062 22207 22352 22497 22642 22787 22932 23077 23222 23367
## [5749] 23512 23657 23802 23947 24092 24237 24382 24527 24672 24817 24962 25107
## [5761] 25252 25397 25542 25687 25832 25977 26122 26267 26412 26557 26702 26847
## [5773] 26992 27137 27282 27427 27572 27717 27862 28007 28152 28297 28442 28587
## [5785] 28732 28877 29022 29167 29312 29457 29602 29747 29892 30037 30182 30327
## [5797] 30472 30617 30762 30907 31052 31197 31342 31487 31632 31777 31922 32067
## [5809] 32212 32357 32502 32647 32792 32937 33082 33227 33372 33517 33662 33807
## [5821] 33952 34097 34242 34387 34532 34677 34822 34967 35112 35257 35402 35547
## [5833] 35692 35837 35982 36127 36272 36417 36562 36707 36852 36997 37142 37287
## [5845] 37432 37577 37722 37867 38012 38157 38302 38447 23 168 313 458
## [5857] 603 748 893 1038 1183 1328 1473 1618 1763 1908 2053 2198
## [5869] 2343 2488 2633 2778 2923 3068 3213 3358 3503 3648 3793 3938
## [5881] 4083 4228 4373 4518 4663 4808 4953 5098 5243 5388 5533 5678
## [5893] 5823 5968 6113 6258 6403 6548 6693 6838 6983 7128 7273 7418
## [5905] 7563 7708 7853 7998 8143 8288 8433 8578 8723 8868 9013 9158
## [5917] 9303 9448 9593 9738 9883 10028 10173 10318 10463 10608 10753 10898
## [5929] 11043 11188 11333 11478 11623 11768 11913 12058 12203 12348 12493 12638
## [5941] 12783 12928 13073 13218 13363 13508 13653 13798 13943 14088 14233 14378
## [5953] 14523 14668 14813 14958 15103 15248 15393 15538 15683 15828 15973 16118
## [5965] 16263 16408 16553 16698 16843 16988 17133 17278 17423 17568 17713 17858
## [5977] 18003 18148 18293 18438 18583 18728 18873 19018 19163 19308 19453 19598
## [5989] 19743 19888 20033 20178 20323 20468 20613 20758 20903 21048 21193 21338
## [6001] 21483 21628 21773 21918 22063 22208 22353 22498 22643 22788 22933 23078
## [6013] 23223 23368 23513 23658 23803 23948 24093 24238 24383 24528 24673 24818
## [6025] 24963 25108 25253 25398 25543 25688 25833 25978 26123 26268 26413 26558
## [6037] 26703 26848 26993 27138 27283 27428 27573 27718 27863 28008 28153 28298
## [6049] 28443 28588 28733 28878 29023 29168 29313 29458 29603 29748 29893 30038
## [6061] 30183 30328 30473 30618 30763 30908 31053 31198 31343 31488 31633 31778
## [6073] 31923 32068 32213 32358 32503 32648 32793 32938 33083 33228 33373 33518
## [6085] 33663 33808 33953 34098 34243 34388 34533 34678 34823 34968 35113 35258
## [6097] 35403 35548 35693 35838 35983 36128 36273 36418 36563 36708 36853 36998
## [6109] 37143 37288 37433 37578 37723 37868 38013 38158 38303 38448 24 169
## [6121] 314 459 604 749 894 1039 1184 1329 1474 1619 1764 1909
## [6133] 2054 2199 2344 2489 2634 2779 2924 3069 3214 3359 3504 3649
## [6145] 3794 3939 4084 4229 4374 4519 4664 4809 4954 5099 5244 5389
## [6157] 5534 5679 5824 5969 6114 6259 6404 6549 6694 6839 6984 7129
## [6169] 7274 7419 7564 7709 7854 7999 8144 8289 8434 8579 8724 8869
## [6181] 9014 9159 9304 9449 9594 9739 9884 10029 10174 10319 10464 10609
## [6193] 10754 10899 11044 11189 11334 11479 11624 11769 11914 12059 12204 12349
## [6205] 12494 12639 12784 12929 13074 13219 13364 13509 13654 13799 13944 14089
## [6217] 14234 14379 14524 14669 14814 14959 15104 15249 15394 15539 15684 15829
## [6229] 15974 16119 16264 16409 16554 16699 16844 16989 17134 17279 17424 17569
## [6241] 17714 17859 18004 18149 18294 18439 18584 18729 18874 19019 19164 19309
## [6253] 19454 19599 19744 19889 20034 20179 20324 20469 20614 20759 20904 21049
## [6265] 21194 21339 21484 21629 21774 21919 22064 22209 22354 22499 22644 22789
## [6277] 22934 23079 23224 23369 23514 23659 23804 23949 24094 24239 24384 24529
## [6289] 24674 24819 24964 25109 25254 25399 25544 25689 25834 25979 26124 26269
## [6301] 26414 26559 26704 26849 26994 27139 27284 27429 27574 27719 27864 28009
## [6313] 28154 28299 28444 28589 28734 28879 29024 29169 29314 29459 29604 29749
## [6325] 29894 30039 30184 30329 30474 30619 30764 30909 31054 31199 31344 31489
## [6337] 31634 31779 31924 32069 32214 32359 32504 32649 32794 32939 33084 33229
## [6349] 33374 33519 33664 33809 33954 34099 34244 34389 34534 34679 34824 34969
## [6361] 35114 35259 35404 35549 35694 35839 35984 36129 36274 36419 36564 36709
## [6373] 36854 36999 37144 37289 37434 37579 37724 37869 38014 38159 38304 38449
## [6385] 25 170 315 460 605 750 895 1040 1185 1330 1475 1620
## [6397] 1765 1910 2055 2200 2345 2490 2635 2780 2925 3070 3215 3360
## [6409] 3505 3650 3795 3940 4085 4230 4375 4520 4665 4810 4955 5100
## [6421] 5245 5390 5535 5680 5825 5970 6115 6260 6405 6550 6695 6840
## [6433] 6985 7130 7275 7420 7565 7710 7855 8000 8145 8290 8435 8580
## [6445] 8725 8870 9015 9160 9305 9450 9595 9740 9885 10030 10175 10320
## [6457] 10465 10610 10755 10900 11045 11190 11335 11480 11625 11770 11915 12060
## [6469] 12205 12350 12495 12640 12785 12930 13075 13220 13365 13510 13655 13800
## [6481] 13945 14090 14235 14380 14525 14670 14815 14960 15105 15250 15395 15540
## [6493] 15685 15830 15975 16120 16265 16410 16555 16700 16845 16990 17135 17280
## [6505] 17425 17570 17715 17860 18005 18150 18295 18440 18585 18730 18875 19020
## [6517] 19165 19310 19455 19600 19745 19890 20035 20180 20325 20470 20615 20760
## [6529] 20905 21050 21195 21340 21485 21630 21775 21920 22065 22210 22355 22500
## [6541] 22645 22790 22935 23080 23225 23370 23515 23660 23805 23950 24095 24240
## [6553] 24385 24530 24675 24820 24965 25110 25255 25400 25545 25690 25835 25980
## [6565] 26125 26270 26415 26560 26705 26850 26995 27140 27285 27430 27575 27720
## [6577] 27865 28010 28155 28300 28445 28590 28735 28880 29025 29170 29315 29460
## [6589] 29605 29750 29895 30040 30185 30330 30475 30620 30765 30910 31055 31200
## [6601] 31345 31490 31635 31780 31925 32070 32215 32360 32505 32650 32795 32940
## [6613] 33085 33230 33375 33520 33665 33810 33955 34100 34245 34390 34535 34680
## [6625] 34825 34970 35115 35260 35405 35550 35695 35840 35985 36130 36275 36420
## [6637] 36565 36710 36855 37000 37145 37290 37435 37580 37725 37870 38015 38160
## [6649] 38305 38450 26 171 316 461 606 751 896 1041 1186 1331
## [6661] 1476 1621 1766 1911 2056 2201 2346 2491 2636 2781 2926 3071
## [6673] 3216 3361 3506 3651 3796 3941 4086 4231 4376 4521 4666 4811
## [6685] 4956 5101 5246 5391 5536 5681 5826 5971 6116 6261 6406 6551
## [6697] 6696 6841 6986 7131 7276 7421 7566 7711 7856 8001 8146 8291
## [6709] 8436 8581 8726 8871 9016 9161 9306 9451 9596 9741 9886 10031
## [6721] 10176 10321 10466 10611 10756 10901 11046 11191 11336 11481 11626 11771
## [6733] 11916 12061 12206 12351 12496 12641 12786 12931 13076 13221 13366 13511
## [6745] 13656 13801 13946 14091 14236 14381 14526 14671 14816 14961 15106 15251
## [6757] 15396 15541 15686 15831 15976 16121 16266 16411 16556 16701 16846 16991
## [6769] 17136 17281 17426 17571 17716 17861 18006 18151 18296 18441 18586 18731
## [6781] 18876 19021 19166 19311 19456 19601 19746 19891 20036 20181 20326 20471
## [6793] 20616 20761 20906 21051 21196 21341 21486 21631 21776 21921 22066 22211
## [6805] 22356 22501 22646 22791 22936 23081 23226 23371 23516 23661 23806 23951
## [6817] 24096 24241 24386 24531 24676 24821 24966 25111 25256 25401 25546 25691
## [6829] 25836 25981 26126 26271 26416 26561 26706 26851 26996 27141 27286 27431
## [6841] 27576 27721 27866 28011 28156 28301 28446 28591 28736 28881 29026 29171
## [6853] 29316 29461 29606 29751 29896 30041 30186 30331 30476 30621 30766 30911
## [6865] 31056 31201 31346 31491 31636 31781 31926 32071 32216 32361 32506 32651
## [6877] 32796 32941 33086 33231 33376 33521 33666 33811 33956 34101 34246 34391
## [6889] 34536 34681 34826 34971 35116 35261 35406 35551 35696 35841 35986 36131
## [6901] 36276 36421 36566 36711 36856 37001 37146 37291 37436 37581 37726 37871
## [6913] 38016 38161 38306 38451 27 172 317 462 607 752 897 1042
## [6925] 1187 1332 1477 1622 1767 1912 2057 2202 2347 2492 2637 2782
## [6937] 2927 3072 3217 3362 3507 3652 3797 3942 4087 4232 4377 4522
## [6949] 4667 4812 4957 5102 5247 5392 5537 5682 5827 5972 6117 6262
## [6961] 6407 6552 6697 6842 6987 7132 7277 7422 7567 7712 7857 8002
## [6973] 8147 8292 8437 8582 8727 8872 9017 9162 9307 9452 9597 9742
## [6985] 9887 10032 10177 10322 10467 10612 10757 10902 11047 11192 11337 11482
## [6997] 11627 11772 11917 12062 12207 12352 12497 12642 12787 12932 13077 13222
## [7009] 13367 13512 13657 13802 13947 14092 14237 14382 14527 14672 14817 14962
## [7021] 15107 15252 15397 15542 15687 15832 15977 16122 16267 16412 16557 16702
## [7033] 16847 16992 17137 17282 17427 17572 17717 17862 18007 18152 18297 18442
## [7045] 18587 18732 18877 19022 19167 19312 19457 19602 19747 19892 20037 20182
## [7057] 20327 20472 20617 20762 20907 21052 21197 21342 21487 21632 21777 21922
## [7069] 22067 22212 22357 22502 22647 22792 22937 23082 23227 23372 23517 23662
## [7081] 23807 23952 24097 24242 24387 24532 24677 24822 24967 25112 25257 25402
## [7093] 25547 25692 25837 25982 26127 26272 26417 26562 26707 26852 26997 27142
## [7105] 27287 27432 27577 27722 27867 28012 28157 28302 28447 28592 28737 28882
## [7117] 29027 29172 29317 29462 29607 29752 29897 30042 30187 30332 30477 30622
## [7129] 30767 30912 31057 31202 31347 31492 31637 31782 31927 32072 32217 32362
## [7141] 32507 32652 32797 32942 33087 33232 33377 33522 33667 33812 33957 34102
## [7153] 34247 34392 34537 34682 34827 34972 35117 35262 35407 35552 35697 35842
## [7165] 35987 36132 36277 36422 36567 36712 36857 37002 37147 37292 37437 37582
## [7177] 37727 37872 38017 38162 38307 38452 28 173 318 463 608 753
## [7189] 898 1043 1188 1333 1478 1623 1768 1913 2058 2203 2348 2493
## [7201] 2638 2783 2928 3073 3218 3363 3508 3653 3798 3943 4088 4233
## [7213] 4378 4523 4668 4813 4958 5103 5248 5393 5538 5683 5828 5973
## [7225] 6118 6263 6408 6553 6698 6843 6988 7133 7278 7423 7568 7713
## [7237] 7858 8003 8148 8293 8438 8583 8728 8873 9018 9163 9308 9453
## [7249] 9598 9743 9888 10033 10178 10323 10468 10613 10758 10903 11048 11193
## [7261] 11338 11483 11628 11773 11918 12063 12208 12353 12498 12643 12788 12933
## [7273] 13078 13223 13368 13513 13658 13803 13948 14093 14238 14383 14528 14673
## [7285] 14818 14963 15108 15253 15398 15543 15688 15833 15978 16123 16268 16413
## [7297] 16558 16703 16848 16993 17138 17283 17428 17573 17718 17863 18008 18153
## [7309] 18298 18443 18588 18733 18878 19023 19168 19313 19458 19603 19748 19893
## [7321] 20038 20183 20328 20473 20618 20763 20908 21053 21198 21343 21488 21633
## [7333] 21778 21923 22068 22213 22358 22503 22648 22793 22938 23083 23228 23373
## [7345] 23518 23663 23808 23953 24098 24243 24388 24533 24678 24823 24968 25113
## [7357] 25258 25403 25548 25693 25838 25983 26128 26273 26418 26563 26708 26853
## [7369] 26998 27143 27288 27433 27578 27723 27868 28013 28158 28303 28448 28593
## [7381] 28738 28883 29028 29173 29318 29463 29608 29753 29898 30043 30188 30333
## [7393] 30478 30623 30768 30913 31058 31203 31348 31493 31638 31783 31928 32073
## [7405] 32218 32363 32508 32653 32798 32943 33088 33233 33378 33523 33668 33813
## [7417] 33958 34103 34248 34393 34538 34683 34828 34973 35118 35263 35408 35553
## [7429] 35698 35843 35988 36133 36278 36423 36568 36713 36858 37003 37148 37293
## [7441] 37438 37583 37728 37873 38018 38163 38308 38453 29 174 319 464
## [7453] 609 754 899 1044 1189 1334 1479 1624 1769 1914 2059 2204
## [7465] 2349 2494 2639 2784 2929 3074 3219 3364 3509 3654 3799 3944
## [7477] 4089 4234 4379 4524 4669 4814 4959 5104 5249 5394 5539 5684
## [7489] 5829 5974 6119 6264 6409 6554 6699 6844 6989 7134 7279 7424
## [7501] 7569 7714 7859 8004 8149 8294 8439 8584 8729 8874 9019 9164
## [7513] 9309 9454 9599 9744 9889 10034 10179 10324 10469 10614 10759 10904
## [7525] 11049 11194 11339 11484 11629 11774 11919 12064 12209 12354 12499 12644
## [7537] 12789 12934 13079 13224 13369 13514 13659 13804 13949 14094 14239 14384
## [7549] 14529 14674 14819 14964 15109 15254 15399 15544 15689 15834 15979 16124
## [7561] 16269 16414 16559 16704 16849 16994 17139 17284 17429 17574 17719 17864
## [7573] 18009 18154 18299 18444 18589 18734 18879 19024 19169 19314 19459 19604
## [7585] 19749 19894 20039 20184 20329 20474 20619 20764 20909 21054 21199 21344
## [7597] 21489 21634 21779 21924 22069 22214 22359 22504 22649 22794 22939 23084
## [7609] 23229 23374 23519 23664 23809 23954 24099 24244 24389 24534 24679 24824
## [7621] 24969 25114 25259 25404 25549 25694 25839 25984 26129 26274 26419 26564
## [7633] 26709 26854 26999 27144 27289 27434 27579 27724 27869 28014 28159 28304
## [7645] 28449 28594 28739 28884 29029 29174 29319 29464 29609 29754 29899 30044
## [7657] 30189 30334 30479 30624 30769 30914 31059 31204 31349 31494 31639 31784
## [7669] 31929 32074 32219 32364 32509 32654 32799 32944 33089 33234 33379 33524
## [7681] 33669 33814 33959 34104 34249 34394 34539 34684 34829 34974 35119 35264
## [7693] 35409 35554 35699 35844 35989 36134 36279 36424 36569 36714 36859 37004
## [7705] 37149 37294 37439 37584 37729 37874 38019 38164 38309 38454 30 175
## [7717] 320 465 610 755 900 1045 1190 1335 1480 1625 1770 1915
## [7729] 2060 2205 2350 2495 2640 2785 2930 3075 3220 3365 3510 3655
## [7741] 3800 3945 4090 4235 4380 4525 4670 4815 4960 5105 5250 5395
## [7753] 5540 5685 5830 5975 6120 6265 6410 6555 6700 6845 6990 7135
## [7765] 7280 7425 7570 7715 7860 8005 8150 8295 8440 8585 8730 8875
## [7777] 9020 9165 9310 9455 9600 9745 9890 10035 10180 10325 10470 10615
## [7789] 10760 10905 11050 11195 11340 11485 11630 11775 11920 12065 12210 12355
## [7801] 12500 12645 12790 12935 13080 13225 13370 13515 13660 13805 13950 14095
## [7813] 14240 14385 14530 14675 14820 14965 15110 15255 15400 15545 15690 15835
## [7825] 15980 16125 16270 16415 16560 16705 16850 16995 17140 17285 17430 17575
## [7837] 17720 17865 18010 18155 18300 18445 18590 18735 18880 19025 19170 19315
## [7849] 19460 19605 19750 19895 20040 20185 20330 20475 20620 20765 20910 21055
## [7861] 21200 21345 21490 21635 21780 21925 22070 22215 22360 22505 22650 22795
## [7873] 22940 23085 23230 23375 23520 23665 23810 23955 24100 24245 24390 24535
## [7885] 24680 24825 24970 25115 25260 25405 25550 25695 25840 25985 26130 26275
## [7897] 26420 26565 26710 26855 27000 27145 27290 27435 27580 27725 27870 28015
## [7909] 28160 28305 28450 28595 28740 28885 29030 29175 29320 29465 29610 29755
## [7921] 29900 30045 30190 30335 30480 30625 30770 30915 31060 31205 31350 31495
## [7933] 31640 31785 31930 32075 32220 32365 32510 32655 32800 32945 33090 33235
## [7945] 33380 33525 33670 33815 33960 34105 34250 34395 34540 34685 34830 34975
## [7957] 35120 35265 35410 35555 35700 35845 35990 36135 36280 36425 36570 36715
## [7969] 36860 37005 37150 37295 37440 37585 37730 37875 38020 38165 38310 38455
## [7981] 31 176 321 466 611 756 901 1046 1191 1336 1481 1626
## [7993] 1771 1916 2061 2206 2351 2496 2641 2786 2931 3076 3221 3366
## [8005] 3511 3656 3801 3946 4091 4236 4381 4526 4671 4816 4961 5106
## [8017] 5251 5396 5541 5686 5831 5976 6121 6266 6411 6556 6701 6846
## [8029] 6991 7136 7281 7426 7571 7716 7861 8006 8151 8296 8441 8586
## [8041] 8731 8876 9021 9166 9311 9456 9601 9746 9891 10036 10181 10326
## [8053] 10471 10616 10761 10906 11051 11196 11341 11486 11631 11776 11921 12066
## [8065] 12211 12356 12501 12646 12791 12936 13081 13226 13371 13516 13661 13806
## [8077] 13951 14096 14241 14386 14531 14676 14821 14966 15111 15256 15401 15546
## [8089] 15691 15836 15981 16126 16271 16416 16561 16706 16851 16996 17141 17286
## [8101] 17431 17576 17721 17866 18011 18156 18301 18446 18591 18736 18881 19026
## [8113] 19171 19316 19461 19606 19751 19896 20041 20186 20331 20476 20621 20766
## [8125] 20911 21056 21201 21346 21491 21636 21781 21926 22071 22216 22361 22506
## [8137] 22651 22796 22941 23086 23231 23376 23521 23666 23811 23956 24101 24246
## [8149] 24391 24536 24681 24826 24971 25116 25261 25406 25551 25696 25841 25986
## [8161] 26131 26276 26421 26566 26711 26856 27001 27146 27291 27436 27581 27726
## [8173] 27871 28016 28161 28306 28451 28596 28741 28886 29031 29176 29321 29466
## [8185] 29611 29756 29901 30046 30191 30336 30481 30626 30771 30916 31061 31206
## [8197] 31351 31496 31641 31786 31931 32076 32221 32366 32511 32656 32801 32946
## [8209] 33091 33236 33381 33526 33671 33816 33961 34106 34251 34396 34541 34686
## [8221] 34831 34976 35121 35266 35411 35556 35701 35846 35991 36136 36281 36426
## [8233] 36571 36716 36861 37006 37151 37296 37441 37586 37731 37876 38021 38166
## [8245] 38311 38456 32 177 322 467 612 757 902 1047 1192 1337
## [8257] 1482 1627 1772 1917 2062 2207 2352 2497 2642 2787 2932 3077
## [8269] 3222 3367 3512 3657 3802 3947 4092 4237 4382 4527 4672 4817
## [8281] 4962 5107 5252 5397 5542 5687 5832 5977 6122 6267 6412 6557
## [8293] 6702 6847 6992 7137 7282 7427 7572 7717 7862 8007 8152 8297
## [8305] 8442 8587 8732 8877 9022 9167 9312 9457 9602 9747 9892 10037
## [8317] 10182 10327 10472 10617 10762 10907 11052 11197 11342 11487 11632 11777
## [8329] 11922 12067 12212 12357 12502 12647 12792 12937 13082 13227 13372 13517
## [8341] 13662 13807 13952 14097 14242 14387 14532 14677 14822 14967 15112 15257
## [8353] 15402 15547 15692 15837 15982 16127 16272 16417 16562 16707 16852 16997
## [8365] 17142 17287 17432 17577 17722 17867 18012 18157 18302 18447 18592 18737
## [8377] 18882 19027 19172 19317 19462 19607 19752 19897 20042 20187 20332 20477
## [8389] 20622 20767 20912 21057 21202 21347 21492 21637 21782 21927 22072 22217
## [8401] 22362 22507 22652 22797 22942 23087 23232 23377 23522 23667 23812 23957
## [8413] 24102 24247 24392 24537 24682 24827 24972 25117 25262 25407 25552 25697
## [8425] 25842 25987 26132 26277 26422 26567 26712 26857 27002 27147 27292 27437
## [8437] 27582 27727 27872 28017 28162 28307 28452 28597 28742 28887 29032 29177
## [8449] 29322 29467 29612 29757 29902 30047 30192 30337 30482 30627 30772 30917
## [8461] 31062 31207 31352 31497 31642 31787 31932 32077 32222 32367 32512 32657
## [8473] 32802 32947 33092 33237 33382 33527 33672 33817 33962 34107 34252 34397
## [8485] 34542 34687 34832 34977 35122 35267 35412 35557 35702 35847 35992 36137
## [8497] 36282 36427 36572 36717 36862 37007 37152 37297 37442 37587 37732 37877
## [8509] 38022 38167 38312 38457 33 178 323 468 613 758 903 1048
## [8521] 1193 1338 1483 1628 1773 1918 2063 2208 2353 2498 2643 2788
## [8533] 2933 3078 3223 3368 3513 3658 3803 3948 4093 4238 4383 4528
## [8545] 4673 4818 4963 5108 5253 5398 5543 5688 5833 5978 6123 6268
## [8557] 6413 6558 6703 6848 6993 7138 7283 7428 7573 7718 7863 8008
## [8569] 8153 8298 8443 8588 8733 8878 9023 9168 9313 9458 9603 9748
## [8581] 9893 10038 10183 10328 10473 10618 10763 10908 11053 11198 11343 11488
## [8593] 11633 11778 11923 12068 12213 12358 12503 12648 12793 12938 13083 13228
## [8605] 13373 13518 13663 13808 13953 14098 14243 14388 14533 14678 14823 14968
## [8617] 15113 15258 15403 15548 15693 15838 15983 16128 16273 16418 16563 16708
## [8629] 16853 16998 17143 17288 17433 17578 17723 17868 18013 18158 18303 18448
## [8641] 18593 18738 18883 19028 19173 19318 19463 19608 19753 19898 20043 20188
## [8653] 20333 20478 20623 20768 20913 21058 21203 21348 21493 21638 21783 21928
## [8665] 22073 22218 22363 22508 22653 22798 22943 23088 23233 23378 23523 23668
## [8677] 23813 23958 24103 24248 24393 24538 24683 24828 24973 25118 25263 25408
## [8689] 25553 25698 25843 25988 26133 26278 26423 26568 26713 26858 27003 27148
## [8701] 27293 27438 27583 27728 27873 28018 28163 28308 28453 28598 28743 28888
## [8713] 29033 29178 29323 29468 29613 29758 29903 30048 30193 30338 30483 30628
## [8725] 30773 30918 31063 31208 31353 31498 31643 31788 31933 32078 32223 32368
## [8737] 32513 32658 32803 32948 33093 33238 33383 33528 33673 33818 33963 34108
## [8749] 34253 34398 34543 34688 34833 34978 35123 35268 35413 35558 35703 35848
## [8761] 35993 36138 36283 36428 36573 36718 36863 37008 37153 37298 37443 37588
## [8773] 37733 37878 38023 38168 38313 38458 34 179 324 469 614 759
## [8785] 904 1049 1194 1339 1484 1629 1774 1919 2064 2209 2354 2499
## [8797] 2644 2789 2934 3079 3224 3369 3514 3659 3804 3949 4094 4239
## [8809] 4384 4529 4674 4819 4964 5109 5254 5399 5544 5689 5834 5979
## [8821] 6124 6269 6414 6559 6704 6849 6994 7139 7284 7429 7574 7719
## [8833] 7864 8009 8154 8299 8444 8589 8734 8879 9024 9169 9314 9459
## [8845] 9604 9749 9894 10039 10184 10329 10474 10619 10764 10909 11054 11199
## [8857] 11344 11489 11634 11779 11924 12069 12214 12359 12504 12649 12794 12939
## [8869] 13084 13229 13374 13519 13664 13809 13954 14099 14244 14389 14534 14679
## [8881] 14824 14969 15114 15259 15404 15549 15694 15839 15984 16129 16274 16419
## [8893] 16564 16709 16854 16999 17144 17289 17434 17579 17724 17869 18014 18159
## [8905] 18304 18449 18594 18739 18884 19029 19174 19319 19464 19609 19754 19899
## [8917] 20044 20189 20334 20479 20624 20769 20914 21059 21204 21349 21494 21639
## [8929] 21784 21929 22074 22219 22364 22509 22654 22799 22944 23089 23234 23379
## [8941] 23524 23669 23814 23959 24104 24249 24394 24539 24684 24829 24974 25119
## [8953] 25264 25409 25554 25699 25844 25989 26134 26279 26424 26569 26714 26859
## [8965] 27004 27149 27294 27439 27584 27729 27874 28019 28164 28309 28454 28599
## [8977] 28744 28889 29034 29179 29324 29469 29614 29759 29904 30049 30194 30339
## [8989] 30484 30629 30774 30919 31064 31209 31354 31499 31644 31789 31934 32079
## [9001] 32224 32369 32514 32659 32804 32949 33094 33239 33384 33529 33674 33819
## [9013] 33964 34109 34254 34399 34544 34689 34834 34979 35124 35269 35414 35559
## [9025] 35704 35849 35994 36139 36284 36429 36574 36719 36864 37009 37154 37299
## [9037] 37444 37589 37734 37879 38024 38169 38314 38459 35 180 325 470
## [9049] 615 760 905 1050 1195 1340 1485 1630 1775 1920 2065 2210
## [9061] 2355 2500 2645 2790 2935 3080 3225 3370 3515 3660 3805 3950
## [9073] 4095 4240 4385 4530 4675 4820 4965 5110 5255 5400 5545 5690
## [9085] 5835 5980 6125 6270 6415 6560 6705 6850 6995 7140 7285 7430
## [9097] 7575 7720 7865 8010 8155 8300 8445 8590 8735 8880 9025 9170
## [9109] 9315 9460 9605 9750 9895 10040 10185 10330 10475 10620 10765 10910
## [9121] 11055 11200 11345 11490 11635 11780 11925 12070 12215 12360 12505 12650
## [9133] 12795 12940 13085 13230 13375 13520 13665 13810 13955 14100 14245 14390
## [9145] 14535 14680 14825 14970 15115 15260 15405 15550 15695 15840 15985 16130
## [9157] 16275 16420 16565 16710 16855 17000 17145 17290 17435 17580 17725 17870
## [9169] 18015 18160 18305 18450 18595 18740 18885 19030 19175 19320 19465 19610
## [9181] 19755 19900 20045 20190 20335 20480 20625 20770 20915 21060 21205 21350
## [9193] 21495 21640 21785 21930 22075 22220 22365 22510 22655 22800 22945 23090
## [9205] 23235 23380 23525 23670 23815 23960 24105 24250 24395 24540 24685 24830
## [9217] 24975 25120 25265 25410 25555 25700 25845 25990 26135 26280 26425 26570
## [9229] 26715 26860 27005 27150 27295 27440 27585 27730 27875 28020 28165 28310
## [9241] 28455 28600 28745 28890 29035 29180 29325 29470 29615 29760 29905 30050
## [9253] 30195 30340 30485 30630 30775 30920 31065 31210 31355 31500 31645 31790
## [9265] 31935 32080 32225 32370 32515 32660 32805 32950 33095 33240 33385 33530
## [9277] 33675 33820 33965 34110 34255 34400 34545 34690 34835 34980 35125 35270
## [9289] 35415 35560 35705 35850 35995 36140 36285 36430 36575 36720 36865 37010
## [9301] 37155 37300 37445 37590 37735 37880 38025 38170 38315 38460 36 181
## [9313] 326 471 616 761 906 1051 1196 1341 1486 1631 1776 1921
## [9325] 2066 2211 2356 2501 2646 2791 2936 3081 3226 3371 3516 3661
## [9337] 3806 3951 4096 4241 4386 4531 4676 4821 4966 5111 5256 5401
## [9349] 5546 5691 5836 5981 6126 6271 6416 6561 6706 6851 6996 7141
## [9361] 7286 7431 7576 7721 7866 8011 8156 8301 8446 8591 8736 8881
## [9373] 9026 9171 9316 9461 9606 9751 9896 10041 10186 10331 10476 10621
## [9385] 10766 10911 11056 11201 11346 11491 11636 11781 11926 12071 12216 12361
## [9397] 12506 12651 12796 12941 13086 13231 13376 13521 13666 13811 13956 14101
## [9409] 14246 14391 14536 14681 14826 14971 15116 15261 15406 15551 15696 15841
## [9421] 15986 16131 16276 16421 16566 16711 16856 17001 17146 17291 17436 17581
## [9433] 17726 17871 18016 18161 18306 18451 18596 18741 18886 19031 19176 19321
## [9445] 19466 19611 19756 19901 20046 20191 20336 20481 20626 20771 20916 21061
## [9457] 21206 21351 21496 21641 21786 21931 22076 22221 22366 22511 22656 22801
## [9469] 22946 23091 23236 23381 23526 23671 23816 23961 24106 24251 24396 24541
## [9481] 24686 24831 24976 25121 25266 25411 25556 25701 25846 25991 26136 26281
## [9493] 26426 26571 26716 26861 27006 27151 27296 27441 27586 27731 27876 28021
## [9505] 28166 28311 28456 28601 28746 28891 29036 29181 29326 29471 29616 29761
## [9517] 29906 30051 30196 30341 30486 30631 30776 30921 31066 31211 31356 31501
## [9529] 31646 31791 31936 32081 32226 32371 32516 32661 32806 32951 33096 33241
## [9541] 33386 33531 33676 33821 33966 34111 34256 34401 34546 34691 34836 34981
## [9553] 35126 35271 35416 35561 35706 35851 35996 36141 36286 36431 36576 36721
## [9565] 36866 37011 37156 37301 37446 37591 37736 37881 38026 38171 38316 38461
## [9577] 37 182 327 472 617 762 907 1052 1197 1342 1487 1632
## [9589] 1777 1922 2067 2212 2357 2502 2647 2792 2937 3082 3227 3372
## [9601] 3517 3662 3807 3952 4097 4242 4387 4532 4677 4822 4967 5112
## [9613] 5257 5402 5547 5692 5837 5982 6127 6272 6417 6562 6707 6852
## [9625] 6997 7142 7287 7432 7577 7722 7867 8012 8157 8302 8447 8592
## [9637] 8737 8882 9027 9172 9317 9462 9607 9752 9897 10042 10187 10332
## [9649] 10477 10622 10767 10912 11057 11202 11347 11492 11637 11782 11927 12072
## [9661] 12217 12362 12507 12652 12797 12942 13087 13232 13377 13522 13667 13812
## [9673] 13957 14102 14247 14392 14537 14682 14827 14972 15117 15262 15407 15552
## [9685] 15697 15842 15987 16132 16277 16422 16567 16712 16857 17002 17147 17292
## [9697] 17437 17582 17727 17872 18017 18162 18307 18452 18597 18742 18887 19032
## [9709] 19177 19322 19467 19612 19757 19902 20047 20192 20337 20482 20627 20772
## [9721] 20917 21062 21207 21352 21497 21642 21787 21932 22077 22222 22367 22512
## [9733] 22657 22802 22947 23092 23237 23382 23527 23672 23817 23962 24107 24252
## [9745] 24397 24542 24687 24832 24977 25122 25267 25412 25557 25702 25847 25992
## [9757] 26137 26282 26427 26572 26717 26862 27007 27152 27297 27442 27587 27732
## [9769] 27877 28022 28167 28312 28457 28602 28747 28892 29037 29182 29327 29472
## [9781] 29617 29762 29907 30052 30197 30342 30487 30632 30777 30922 31067 31212
## [9793] 31357 31502 31647 31792 31937 32082 32227 32372 32517 32662 32807 32952
## [9805] 33097 33242 33387 33532 33677 33822 33967 34112 34257 34402 34547 34692
## [9817] 34837 34982 35127 35272 35417 35562 35707 35852 35997 36142 36287 36432
## [9829] 36577 36722 36867 37012 37157 37302 37447 37592 37737 37882 38027 38172
## [9841] 38317 38462 38 183 328 473 618 763 908 1053 1198 1343
## [9853] 1488 1633 1778 1923 2068 2213 2358 2503 2648 2793 2938 3083
## [9865] 3228 3373 3518 3663 3808 3953 4098 4243 4388 4533 4678 4823
## [9877] 4968 5113 5258 5403 5548 5693 5838 5983 6128 6273 6418 6563
## [9889] 6708 6853 6998 7143 7288 7433 7578 7723 7868 8013 8158 8303
## [9901] 8448 8593 8738 8883 9028 9173 9318 9463 9608 9753 9898 10043
## [9913] 10188 10333 10478 10623 10768 10913 11058 11203 11348 11493 11638 11783
## [9925] 11928 12073 12218 12363 12508 12653 12798 12943 13088 13233 13378 13523
## [9937] 13668 13813 13958 14103 14248 14393 14538 14683 14828 14973 15118 15263
## [9949] 15408 15553 15698 15843 15988 16133 16278 16423 16568 16713 16858 17003
## [9961] 17148 17293 17438 17583 17728 17873 18018 18163 18308 18453 18598 18743
## [9973] 18888 19033 19178 19323 19468 19613 19758 19903 20048 20193 20338 20483
## [9985] 20628 20773 20918 21063 21208 21353 21498 21643 21788 21933 22078 22223
## [9997] 22368 22513 22658 22803 22948 23093 23238 23383 23528 23673 23818 23963
## [10009] 24108 24253 24398 24543 24688 24833 24978 25123 25268 25413 25558 25703
## [10021] 25848 25993 26138 26283 26428 26573 26718 26863 27008 27153 27298 27443
## [10033] 27588 27733 27878 28023 28168 28313 28458 28603 28748 28893 29038 29183
## [10045] 29328 29473 29618 29763 29908 30053 30198 30343 30488 30633 30778 30923
## [10057] 31068 31213 31358 31503 31648 31793 31938 32083 32228 32373 32518 32663
## [10069] 32808 32953 33098 33243 33388 33533 33678 33823 33968 34113 34258 34403
## [10081] 34548 34693 34838 34983 35128 35273 35418 35563 35708 35853 35998 36143
## [10093] 36288 36433 36578 36723 36868 37013 37158 37303 37448 37593 37738 37883
## [10105] 38028 38173 38318 38463 39 184 329 474 619 764 909 1054
## [10117] 1199 1344 1489 1634 1779 1924 2069 2214 2359 2504 2649 2794
## [10129] 2939 3084 3229 3374 3519 3664 3809 3954 4099 4244 4389 4534
## [10141] 4679 4824 4969 5114 5259 5404 5549 5694 5839 5984 6129 6274
## [10153] 6419 6564 6709 6854 6999 7144 7289 7434 7579 7724 7869 8014
## [10165] 8159 8304 8449 8594 8739 8884 9029 9174 9319 9464 9609 9754
## [10177] 9899 10044 10189 10334 10479 10624 10769 10914 11059 11204 11349 11494
## [10189] 11639 11784 11929 12074 12219 12364 12509 12654 12799 12944 13089 13234
## [10201] 13379 13524 13669 13814 13959 14104 14249 14394 14539 14684 14829 14974
## [10213] 15119 15264 15409 15554 15699 15844 15989 16134 16279 16424 16569 16714
## [10225] 16859 17004 17149 17294 17439 17584 17729 17874 18019 18164 18309 18454
## [10237] 18599 18744 18889 19034 19179 19324 19469 19614 19759 19904 20049 20194
## [10249] 20339 20484 20629 20774 20919 21064 21209 21354 21499 21644 21789 21934
## [10261] 22079 22224 22369 22514 22659 22804 22949 23094 23239 23384 23529 23674
## [10273] 23819 23964 24109 24254 24399 24544 24689 24834 24979 25124 25269 25414
## [10285] 25559 25704 25849 25994 26139 26284 26429 26574 26719 26864 27009 27154
## [10297] 27299 27444 27589 27734 27879 28024 28169 28314 28459 28604 28749 28894
## [10309] 29039 29184 29329 29474 29619 29764 29909 30054 30199 30344 30489 30634
## [10321] 30779 30924 31069 31214 31359 31504 31649 31794 31939 32084 32229 32374
## [10333] 32519 32664 32809 32954 33099 33244 33389 33534 33679 33824 33969 34114
## [10345] 34259 34404 34549 34694 34839 34984 35129 35274 35419 35564 35709 35854
## [10357] 35999 36144 36289 36434 36579 36724 36869 37014 37159 37304 37449 37594
## [10369] 37739 37884 38029 38174 38319 38464 40 185 330 475 620 765
## [10381] 910 1055 1200 1345 1490 1635 1780 1925 2070 2215 2360 2505
## [10393] 2650 2795 2940 3085 3230 3375 3520 3665 3810 3955 4100 4245
## [10405] 4390 4535 4680 4825 4970 5115 5260 5405 5550 5695 5840 5985
## [10417] 6130 6275 6420 6565 6710 6855 7000 7145 7290 7435 7580 7725
## [10429] 7870 8015 8160 8305 8450 8595 8740 8885 9030 9175 9320 9465
## [10441] 9610 9755 9900 10045 10190 10335 10480 10625 10770 10915 11060 11205
## [10453] 11350 11495 11640 11785 11930 12075 12220 12365 12510 12655 12800 12945
## [10465] 13090 13235 13380 13525 13670 13815 13960 14105 14250 14395 14540 14685
## [10477] 14830 14975 15120 15265 15410 15555 15700 15845 15990 16135 16280 16425
## [10489] 16570 16715 16860 17005 17150 17295 17440 17585 17730 17875 18020 18165
## [10501] 18310 18455 18600 18745 18890 19035 19180 19325 19470 19615 19760 19905
## [10513] 20050 20195 20340 20485 20630 20775 20920 21065 21210 21355 21500 21645
## [10525] 21790 21935 22080 22225 22370 22515 22660 22805 22950 23095 23240 23385
## [10537] 23530 23675 23820 23965 24110 24255 24400 24545 24690 24835 24980 25125
## [10549] 25270 25415 25560 25705 25850 25995 26140 26285 26430 26575 26720 26865
## [10561] 27010 27155 27300 27445 27590 27735 27880 28025 28170 28315 28460 28605
## [10573] 28750 28895 29040 29185 29330 29475 29620 29765 29910 30055 30200 30345
## [10585] 30490 30635 30780 30925 31070 31215 31360 31505 31650 31795 31940 32085
## [10597] 32230 32375 32520 32665 32810 32955 33100 33245 33390 33535 33680 33825
## [10609] 33970 34115 34260 34405 34550 34695 34840 34985 35130 35275 35420 35565
## [10621] 35710 35855 36000 36145 36290 36435 36580 36725 36870 37015 37160 37305
## [10633] 37450 37595 37740 37885 38030 38175 38320 38465 41 186 331 476
## [10645] 621 766 911 1056 1201 1346 1491 1636 1781 1926 2071 2216
## [10657] 2361 2506 2651 2796 2941 3086 3231 3376 3521 3666 3811 3956
## [10669] 4101 4246 4391 4536 4681 4826 4971 5116 5261 5406 5551 5696
## [10681] 5841 5986 6131 6276 6421 6566 6711 6856 7001 7146 7291 7436
## [10693] 7581 7726 7871 8016 8161 8306 8451 8596 8741 8886 9031 9176
## [10705] 9321 9466 9611 9756 9901 10046 10191 10336 10481 10626 10771 10916
## [10717] 11061 11206 11351 11496 11641 11786 11931 12076 12221 12366 12511 12656
## [10729] 12801 12946 13091 13236 13381 13526 13671 13816 13961 14106 14251 14396
## [10741] 14541 14686 14831 14976 15121 15266 15411 15556 15701 15846 15991 16136
## [10753] 16281 16426 16571 16716 16861 17006 17151 17296 17441 17586 17731 17876
## [10765] 18021 18166 18311 18456 18601 18746 18891 19036 19181 19326 19471 19616
## [10777] 19761 19906 20051 20196 20341 20486 20631 20776 20921 21066 21211 21356
## [10789] 21501 21646 21791 21936 22081 22226 22371 22516 22661 22806 22951 23096
## [10801] 23241 23386 23531 23676 23821 23966 24111 24256 24401 24546 24691 24836
## [10813] 24981 25126 25271 25416 25561 25706 25851 25996 26141 26286 26431 26576
## [10825] 26721 26866 27011 27156 27301 27446 27591 27736 27881 28026 28171 28316
## [10837] 28461 28606 28751 28896 29041 29186 29331 29476 29621 29766 29911 30056
## [10849] 30201 30346 30491 30636 30781 30926 31071 31216 31361 31506 31651 31796
## [10861] 31941 32086 32231 32376 32521 32666 32811 32956 33101 33246 33391 33536
## [10873] 33681 33826 33971 34116 34261 34406 34551 34696 34841 34986 35131 35276
## [10885] 35421 35566 35711 35856 36001 36146 36291 36436 36581 36726 36871 37016
## [10897] 37161 37306 37451 37596 37741 37886 38031 38176 38321 38466 42 187
## [10909] 332 477 622 767 912 1057 1202 1347 1492 1637 1782 1927
## [10921] 2072 2217 2362 2507 2652 2797 2942 3087 3232 3377 3522 3667
## [10933] 3812 3957 4102 4247 4392 4537 4682 4827 4972 5117 5262 5407
## [10945] 5552 5697 5842 5987 6132 6277 6422 6567 6712 6857 7002 7147
## [10957] 7292 7437 7582 7727 7872 8017 8162 8307 8452 8597 8742 8887
## [10969] 9032 9177 9322 9467 9612 9757 9902 10047 10192 10337 10482 10627
## [10981] 10772 10917 11062 11207 11352 11497 11642 11787 11932 12077 12222 12367
## [10993] 12512 12657 12802 12947 13092 13237 13382 13527 13672 13817 13962 14107
## [11005] 14252 14397 14542 14687 14832 14977 15122 15267 15412 15557 15702 15847
## [11017] 15992 16137 16282 16427 16572 16717 16862 17007 17152 17297 17442 17587
## [11029] 17732 17877 18022 18167 18312 18457 18602 18747 18892 19037 19182 19327
## [11041] 19472 19617 19762 19907 20052 20197 20342 20487 20632 20777 20922 21067
## [11053] 21212 21357 21502 21647 21792 21937 22082 22227 22372 22517 22662 22807
## [11065] 22952 23097 23242 23387 23532 23677 23822 23967 24112 24257 24402 24547
## [11077] 24692 24837 24982 25127 25272 25417 25562 25707 25852 25997 26142 26287
## [11089] 26432 26577 26722 26867 27012 27157 27302 27447 27592 27737 27882 28027
## [11101] 28172 28317 28462 28607 28752 28897 29042 29187 29332 29477 29622 29767
## [11113] 29912 30057 30202 30347 30492 30637 30782 30927 31072 31217 31362 31507
## [11125] 31652 31797 31942 32087 32232 32377 32522 32667 32812 32957 33102 33247
## [11137] 33392 33537 33682 33827 33972 34117 34262 34407 34552 34697 34842 34987
## [11149] 35132 35277 35422 35567 35712 35857 36002 36147 36292 36437 36582 36727
## [11161] 36872 37017 37162 37307 37452 37597 37742 37887 38032 38177 38322 38467
## [11173] 43 188 333 478 623 768 913 1058 1203 1348 1493 1638
## [11185] 1783 1928 2073 2218 2363 2508 2653 2798 2943 3088 3233 3378
## [11197] 3523 3668 3813 3958 4103 4248 4393 4538 4683 4828 4973 5118
## [11209] 5263 5408 5553 5698 5843 5988 6133 6278 6423 6568 6713 6858
## [11221] 7003 7148 7293 7438 7583 7728 7873 8018 8163 8308 8453 8598
## [11233] 8743 8888 9033 9178 9323 9468 9613 9758 9903 10048 10193 10338
## [11245] 10483 10628 10773 10918 11063 11208 11353 11498 11643 11788 11933 12078
## [11257] 12223 12368 12513 12658 12803 12948 13093 13238 13383 13528 13673 13818
## [11269] 13963 14108 14253 14398 14543 14688 14833 14978 15123 15268 15413 15558
## [11281] 15703 15848 15993 16138 16283 16428 16573 16718 16863 17008 17153 17298
## [11293] 17443 17588 17733 17878 18023 18168 18313 18458 18603 18748 18893 19038
## [11305] 19183 19328 19473 19618 19763 19908 20053 20198 20343 20488 20633 20778
## [11317] 20923 21068 21213 21358 21503 21648 21793 21938 22083 22228 22373 22518
## [11329] 22663 22808 22953 23098 23243 23388 23533 23678 23823 23968 24113 24258
## [11341] 24403 24548 24693 24838 24983 25128 25273 25418 25563 25708 25853 25998
## [11353] 26143 26288 26433 26578 26723 26868 27013 27158 27303 27448 27593 27738
## [11365] 27883 28028 28173 28318 28463 28608 28753 28898 29043 29188 29333 29478
## [11377] 29623 29768 29913 30058 30203 30348 30493 30638 30783 30928 31073 31218
## [11389] 31363 31508 31653 31798 31943 32088 32233 32378 32523 32668 32813 32958
## [11401] 33103 33248 33393 33538 33683 33828 33973 34118 34263 34408 34553 34698
## [11413] 34843 34988 35133 35278 35423 35568 35713 35858 36003 36148 36293 36438
## [11425] 36583 36728 36873 37018 37163 37308 37453 37598 37743 37888 38033 38178
## [11437] 38323 38468 44 189 334 479 624 769 914 1059 1204 1349
## [11449] 1494 1639 1784 1929 2074 2219 2364 2509 2654 2799 2944 3089
## [11461] 3234 3379 3524 3669 3814 3959 4104 4249 4394 4539 4684 4829
## [11473] 4974 5119 5264 5409 5554 5699 5844 5989 6134 6279 6424 6569
## [11485] 6714 6859 7004 7149 7294 7439 7584 7729 7874 8019 8164 8309
## [11497] 8454 8599 8744 8889 9034 9179 9324 9469 9614 9759 9904 10049
## [11509] 10194 10339 10484 10629 10774 10919 11064 11209 11354 11499 11644 11789
## [11521] 11934 12079 12224 12369 12514 12659 12804 12949 13094 13239 13384 13529
## [11533] 13674 13819 13964 14109 14254 14399 14544 14689 14834 14979 15124 15269
## [11545] 15414 15559 15704 15849 15994 16139 16284 16429 16574 16719 16864 17009
## [11557] 17154 17299 17444 17589 17734 17879 18024 18169 18314 18459 18604 18749
## [11569] 18894 19039 19184 19329 19474 19619 19764 19909 20054 20199 20344 20489
## [11581] 20634 20779 20924 21069 21214 21359 21504 21649 21794 21939 22084 22229
## [11593] 22374 22519 22664 22809 22954 23099 23244 23389 23534 23679 23824 23969
## [11605] 24114 24259 24404 24549 24694 24839 24984 25129 25274 25419 25564 25709
## [11617] 25854 25999 26144 26289 26434 26579 26724 26869 27014 27159 27304 27449
## [11629] 27594 27739 27884 28029 28174 28319 28464 28609 28754 28899 29044 29189
## [11641] 29334 29479 29624 29769 29914 30059 30204 30349 30494 30639 30784 30929
## [11653] 31074 31219 31364 31509 31654 31799 31944 32089 32234 32379 32524 32669
## [11665] 32814 32959 33104 33249 33394 33539 33684 33829 33974 34119 34264 34409
## [11677] 34554 34699 34844 34989 35134 35279 35424 35569 35714 35859 36004 36149
## [11689] 36294 36439 36584 36729 36874 37019 37164 37309 37454 37599 37744 37889
## [11701] 38034 38179 38324 38469 45 190 335 480 625 770 915 1060
## [11713] 1205 1350 1495 1640 1785 1930 2075 2220 2365 2510 2655 2800
## [11725] 2945 3090 3235 3380 3525 3670 3815 3960 4105 4250 4395 4540
## [11737] 4685 4830 4975 5120 5265 5410 5555 5700 5845 5990 6135 6280
## [11749] 6425 6570 6715 6860 7005 7150 7295 7440 7585 7730 7875 8020
## [11761] 8165 8310 8455 8600 8745 8890 9035 9180 9325 9470 9615 9760
## [11773] 9905 10050 10195 10340 10485 10630 10775 10920 11065 11210 11355 11500
## [11785] 11645 11790 11935 12080 12225 12370 12515 12660 12805 12950 13095 13240
## [11797] 13385 13530 13675 13820 13965 14110 14255 14400 14545 14690 14835 14980
## [11809] 15125 15270 15415 15560 15705 15850 15995 16140 16285 16430 16575 16720
## [11821] 16865 17010 17155 17300 17445 17590 17735 17880 18025 18170 18315 18460
## [11833] 18605 18750 18895 19040 19185 19330 19475 19620 19765 19910 20055 20200
## [11845] 20345 20490 20635 20780 20925 21070 21215 21360 21505 21650 21795 21940
## [11857] 22085 22230 22375 22520 22665 22810 22955 23100 23245 23390 23535 23680
## [11869] 23825 23970 24115 24260 24405 24550 24695 24840 24985 25130 25275 25420
## [11881] 25565 25710 25855 26000 26145 26290 26435 26580 26725 26870 27015 27160
## [11893] 27305 27450 27595 27740 27885 28030 28175 28320 28465 28610 28755 28900
## [11905] 29045 29190 29335 29480 29625 29770 29915 30060 30205 30350 30495 30640
## [11917] 30785 30930 31075 31220 31365 31510 31655 31800 31945 32090 32235 32380
## [11929] 32525 32670 32815 32960 33105 33250 33395 33540 33685 33830 33975 34120
## [11941] 34265 34410 34555 34700 34845 34990 35135 35280 35425 35570 35715 35860
## [11953] 36005 36150 36295 36440 36585 36730 36875 37020 37165 37310 37455 37600
## [11965] 37745 37890 38035 38180 38325 38470 46 191 336 481 626 771
## [11977] 916 1061 1206 1351 1496 1641 1786 1931 2076 2221 2366 2511
## [11989] 2656 2801 2946 3091 3236 3381 3526 3671 3816 3961 4106 4251
## [12001] 4396 4541 4686 4831 4976 5121 5266 5411 5556 5701 5846 5991
## [12013] 6136 6281 6426 6571 6716 6861 7006 7151 7296 7441 7586 7731
## [12025] 7876 8021 8166 8311 8456 8601 8746 8891 9036 9181 9326 9471
## [12037] 9616 9761 9906 10051 10196 10341 10486 10631 10776 10921 11066 11211
## [12049] 11356 11501 11646 11791 11936 12081 12226 12371 12516 12661 12806 12951
## [12061] 13096 13241 13386 13531 13676 13821 13966 14111 14256 14401 14546 14691
## [12073] 14836 14981 15126 15271 15416 15561 15706 15851 15996 16141 16286 16431
## [12085] 16576 16721 16866 17011 17156 17301 17446 17591 17736 17881 18026 18171
## [12097] 18316 18461 18606 18751 18896 19041 19186 19331 19476 19621 19766 19911
## [12109] 20056 20201 20346 20491 20636 20781 20926 21071 21216 21361 21506 21651
## [12121] 21796 21941 22086 22231 22376 22521 22666 22811 22956 23101 23246 23391
## [12133] 23536 23681 23826 23971 24116 24261 24406 24551 24696 24841 24986 25131
## [12145] 25276 25421 25566 25711 25856 26001 26146 26291 26436 26581 26726 26871
## [12157] 27016 27161 27306 27451 27596 27741 27886 28031 28176 28321 28466 28611
## [12169] 28756 28901 29046 29191 29336 29481 29626 29771 29916 30061 30206 30351
## [12181] 30496 30641 30786 30931 31076 31221 31366 31511 31656 31801 31946 32091
## [12193] 32236 32381 32526 32671 32816 32961 33106 33251 33396 33541 33686 33831
## [12205] 33976 34121 34266 34411 34556 34701 34846 34991 35136 35281 35426 35571
## [12217] 35716 35861 36006 36151 36296 36441 36586 36731 36876 37021 37166 37311
## [12229] 37456 37601 37746 37891 38036 38181 38326 38471 47 192 337 482
## [12241] 627 772 917 1062 1207 1352 1497 1642 1787 1932 2077 2222
## [12253] 2367 2512 2657 2802 2947 3092 3237 3382 3527 3672 3817 3962
## [12265] 4107 4252 4397 4542 4687 4832 4977 5122 5267 5412 5557 5702
## [12277] 5847 5992 6137 6282 6427 6572 6717 6862 7007 7152 7297 7442
## [12289] 7587 7732 7877 8022 8167 8312 8457 8602 8747 8892 9037 9182
## [12301] 9327 9472 9617 9762 9907 10052 10197 10342 10487 10632 10777 10922
## [12313] 11067 11212 11357 11502 11647 11792 11937 12082 12227 12372 12517 12662
## [12325] 12807 12952 13097 13242 13387 13532 13677 13822 13967 14112 14257 14402
## [12337] 14547 14692 14837 14982 15127 15272 15417 15562 15707 15852 15997 16142
## [12349] 16287 16432 16577 16722 16867 17012 17157 17302 17447 17592 17737 17882
## [12361] 18027 18172 18317 18462 18607 18752 18897 19042 19187 19332 19477 19622
## [12373] 19767 19912 20057 20202 20347 20492 20637 20782 20927 21072 21217 21362
## [12385] 21507 21652 21797 21942 22087 22232 22377 22522 22667 22812 22957 23102
## [12397] 23247 23392 23537 23682 23827 23972 24117 24262 24407 24552 24697 24842
## [12409] 24987 25132 25277 25422 25567 25712 25857 26002 26147 26292 26437 26582
## [12421] 26727 26872 27017 27162 27307 27452 27597 27742 27887 28032 28177 28322
## [12433] 28467 28612 28757 28902 29047 29192 29337 29482 29627 29772 29917 30062
## [12445] 30207 30352 30497 30642 30787 30932 31077 31222 31367 31512 31657 31802
## [12457] 31947 32092 32237 32382 32527 32672 32817 32962 33107 33252 33397 33542
## [12469] 33687 33832 33977 34122 34267 34412 34557 34702 34847 34992 35137 35282
## [12481] 35427 35572 35717 35862 36007 36152 36297 36442 36587 36732 36877 37022
## [12493] 37167 37312 37457 37602 37747 37892 38037 38182 38327 38472 48 193
## [12505] 338 483 628 773 918 1063 1208 1353 1498 1643 1788 1933
## [12517] 2078 2223 2368 2513 2658 2803 2948 3093 3238 3383 3528 3673
## [12529] 3818 3963 4108 4253 4398 4543 4688 4833 4978 5123 5268 5413
## [12541] 5558 5703 5848 5993 6138 6283 6428 6573 6718 6863 7008 7153
## [12553] 7298 7443 7588 7733 7878 8023 8168 8313 8458 8603 8748 8893
## [12565] 9038 9183 9328 9473 9618 9763 9908 10053 10198 10343 10488 10633
## [12577] 10778 10923 11068 11213 11358 11503 11648 11793 11938 12083 12228 12373
## [12589] 12518 12663 12808 12953 13098 13243 13388 13533 13678 13823 13968 14113
## [12601] 14258 14403 14548 14693 14838 14983 15128 15273 15418 15563 15708 15853
## [12613] 15998 16143 16288 16433 16578 16723 16868 17013 17158 17303 17448 17593
## [12625] 17738 17883 18028 18173 18318 18463 18608 18753 18898 19043 19188 19333
## [12637] 19478 19623 19768 19913 20058 20203 20348 20493 20638 20783 20928 21073
## [12649] 21218 21363 21508 21653 21798 21943 22088 22233 22378 22523 22668 22813
## [12661] 22958 23103 23248 23393 23538 23683 23828 23973 24118 24263 24408 24553
## [12673] 24698 24843 24988 25133 25278 25423 25568 25713 25858 26003 26148 26293
## [12685] 26438 26583 26728 26873 27018 27163 27308 27453 27598 27743 27888 28033
## [12697] 28178 28323 28468 28613 28758 28903 29048 29193 29338 29483 29628 29773
## [12709] 29918 30063 30208 30353 30498 30643 30788 30933 31078 31223 31368 31513
## [12721] 31658 31803 31948 32093 32238 32383 32528 32673 32818 32963 33108 33253
## [12733] 33398 33543 33688 33833 33978 34123 34268 34413 34558 34703 34848 34993
## [12745] 35138 35283 35428 35573 35718 35863 36008 36153 36298 36443 36588 36733
## [12757] 36878 37023 37168 37313 37458 37603 37748 37893 38038 38183 38328 38473
## [12769] 49 194 339 484 629 774 919 1064 1209 1354 1499 1644
## [12781] 1789 1934 2079 2224 2369 2514 2659 2804 2949 3094 3239 3384
## [12793] 3529 3674 3819 3964 4109 4254 4399 4544 4689 4834 4979 5124
## [12805] 5269 5414 5559 5704 5849 5994 6139 6284 6429 6574 6719 6864
## [12817] 7009 7154 7299 7444 7589 7734 7879 8024 8169 8314 8459 8604
## [12829] 8749 8894 9039 9184 9329 9474 9619 9764 9909 10054 10199 10344
## [12841] 10489 10634 10779 10924 11069 11214 11359 11504 11649 11794 11939 12084
## [12853] 12229 12374 12519 12664 12809 12954 13099 13244 13389 13534 13679 13824
## [12865] 13969 14114 14259 14404 14549 14694 14839 14984 15129 15274 15419 15564
## [12877] 15709 15854 15999 16144 16289 16434 16579 16724 16869 17014 17159 17304
## [12889] 17449 17594 17739 17884 18029 18174 18319 18464 18609 18754 18899 19044
## [12901] 19189 19334 19479 19624 19769 19914 20059 20204 20349 20494 20639 20784
## [12913] 20929 21074 21219 21364 21509 21654 21799 21944 22089 22234 22379 22524
## [12925] 22669 22814 22959 23104 23249 23394 23539 23684 23829 23974 24119 24264
## [12937] 24409 24554 24699 24844 24989 25134 25279 25424 25569 25714 25859 26004
## [12949] 26149 26294 26439 26584 26729 26874 27019 27164 27309 27454 27599 27744
## [12961] 27889 28034 28179 28324 28469 28614 28759 28904 29049 29194 29339 29484
## [12973] 29629 29774 29919 30064 30209 30354 30499 30644 30789 30934 31079 31224
## [12985] 31369 31514 31659 31804 31949 32094 32239 32384 32529 32674 32819 32964
## [12997] 33109 33254 33399 33544 33689 33834 33979 34124 34269 34414 34559 34704
## [13009] 34849 34994 35139 35284 35429 35574 35719 35864 36009 36154 36299 36444
## [13021] 36589 36734 36879 37024 37169 37314 37459 37604 37749 37894 38039 38184
## [13033] 38329 38474 50 195 340 485 630 775 920 1065 1210 1355
## [13045] 1500 1645 1790 1935 2080 2225 2370 2515 2660 2805 2950 3095
## [13057] 3240 3385 3530 3675 3820 3965 4110 4255 4400 4545 4690 4835
## [13069] 4980 5125 5270 5415 5560 5705 5850 5995 6140 6285 6430 6575
## [13081] 6720 6865 7010 7155 7300 7445 7590 7735 7880 8025 8170 8315
## [13093] 8460 8605 8750 8895 9040 9185 9330 9475 9620 9765 9910 10055
## [13105] 10200 10345 10490 10635 10780 10925 11070 11215 11360 11505 11650 11795
## [13117] 11940 12085 12230 12375 12520 12665 12810 12955 13100 13245 13390 13535
## [13129] 13680 13825 13970 14115 14260 14405 14550 14695 14840 14985 15130 15275
## [13141] 15420 15565 15710 15855 16000 16145 16290 16435 16580 16725 16870 17015
## [13153] 17160 17305 17450 17595 17740 17885 18030 18175 18320 18465 18610 18755
## [13165] 18900 19045 19190 19335 19480 19625 19770 19915 20060 20205 20350 20495
## [13177] 20640 20785 20930 21075 21220 21365 21510 21655 21800 21945 22090 22235
## [13189] 22380 22525 22670 22815 22960 23105 23250 23395 23540 23685 23830 23975
## [13201] 24120 24265 24410 24555 24700 24845 24990 25135 25280 25425 25570 25715
## [13213] 25860 26005 26150 26295 26440 26585 26730 26875 27020 27165 27310 27455
## [13225] 27600 27745 27890 28035 28180 28325 28470 28615 28760 28905 29050 29195
## [13237] 29340 29485 29630 29775 29920 30065 30210 30355 30500 30645 30790 30935
## [13249] 31080 31225 31370 31515 31660 31805 31950 32095 32240 32385 32530 32675
## [13261] 32820 32965 33110 33255 33400 33545 33690 33835 33980 34125 34270 34415
## [13273] 34560 34705 34850 34995 35140 35285 35430 35575 35720 35865 36010 36155
## [13285] 36300 36445 36590 36735 36880 37025 37170 37315 37460 37605 37750 37895
## [13297] 38040 38185 38330 38475 51 196 341 486 631 776 921 1066
## [13309] 1211 1356 1501 1646 1791 1936 2081 2226 2371 2516 2661 2806
## [13321] 2951 3096 3241 3386 3531 3676 3821 3966 4111 4256 4401 4546
## [13333] 4691 4836 4981 5126 5271 5416 5561 5706 5851 5996 6141 6286
## [13345] 6431 6576 6721 6866 7011 7156 7301 7446 7591 7736 7881 8026
## [13357] 8171 8316 8461 8606 8751 8896 9041 9186 9331 9476 9621 9766
## [13369] 9911 10056 10201 10346 10491 10636 10781 10926 11071 11216 11361 11506
## [13381] 11651 11796 11941 12086 12231 12376 12521 12666 12811 12956 13101 13246
## [13393] 13391 13536 13681 13826 13971 14116 14261 14406 14551 14696 14841 14986
## [13405] 15131 15276 15421 15566 15711 15856 16001 16146 16291 16436 16581 16726
## [13417] 16871 17016 17161 17306 17451 17596 17741 17886 18031 18176 18321 18466
## [13429] 18611 18756 18901 19046 19191 19336 19481 19626 19771 19916 20061 20206
## [13441] 20351 20496 20641 20786 20931 21076 21221 21366 21511 21656 21801 21946
## [13453] 22091 22236 22381 22526 22671 22816 22961 23106 23251 23396 23541 23686
## [13465] 23831 23976 24121 24266 24411 24556 24701 24846 24991 25136 25281 25426
## [13477] 25571 25716 25861 26006 26151 26296 26441 26586 26731 26876 27021 27166
## [13489] 27311 27456 27601 27746 27891 28036 28181 28326 28471 28616 28761 28906
## [13501] 29051 29196 29341 29486 29631 29776 29921 30066 30211 30356 30501 30646
## [13513] 30791 30936 31081 31226 31371 31516 31661 31806 31951 32096 32241 32386
## [13525] 32531 32676 32821 32966 33111 33256 33401 33546 33691 33836 33981 34126
## [13537] 34271 34416 34561 34706 34851 34996 35141 35286 35431 35576 35721 35866
## [13549] 36011 36156 36301 36446 36591 36736 36881 37026 37171 37316 37461 37606
## [13561] 37751 37896 38041 38186 38331 38476 52 197 342 487 632 777
## [13573] 922 1067 1212 1357 1502 1647 1792 1937 2082 2227 2372 2517
## [13585] 2662 2807 2952 3097 3242 3387 3532 3677 3822 3967 4112 4257
## [13597] 4402 4547 4692 4837 4982 5127 5272 5417 5562 5707 5852 5997
## [13609] 6142 6287 6432 6577 6722 6867 7012 7157 7302 7447 7592 7737
## [13621] 7882 8027 8172 8317 8462 8607 8752 8897 9042 9187 9332 9477
## [13633] 9622 9767 9912 10057 10202 10347 10492 10637 10782 10927 11072 11217
## [13645] 11362 11507 11652 11797 11942 12087 12232 12377 12522 12667 12812 12957
## [13657] 13102 13247 13392 13537 13682 13827 13972 14117 14262 14407 14552 14697
## [13669] 14842 14987 15132 15277 15422 15567 15712 15857 16002 16147 16292 16437
## [13681] 16582 16727 16872 17017 17162 17307 17452 17597 17742 17887 18032 18177
## [13693] 18322 18467 18612 18757 18902 19047 19192 19337 19482 19627 19772 19917
## [13705] 20062 20207 20352 20497 20642 20787 20932 21077 21222 21367 21512 21657
## [13717] 21802 21947 22092 22237 22382 22527 22672 22817 22962 23107 23252 23397
## [13729] 23542 23687 23832 23977 24122 24267 24412 24557 24702 24847 24992 25137
## [13741] 25282 25427 25572 25717 25862 26007 26152 26297 26442 26587 26732 26877
## [13753] 27022 27167 27312 27457 27602 27747 27892 28037 28182 28327 28472 28617
## [13765] 28762 28907 29052 29197 29342 29487 29632 29777 29922 30067 30212 30357
## [13777] 30502 30647 30792 30937 31082 31227 31372 31517 31662 31807 31952 32097
## [13789] 32242 32387 32532 32677 32822 32967 33112 33257 33402 33547 33692 33837
## [13801] 33982 34127 34272 34417 34562 34707 34852 34997 35142 35287 35432 35577
## [13813] 35722 35867 36012 36157 36302 36447 36592 36737 36882 37027 37172 37317
## [13825] 37462 37607 37752 37897 38042 38187 38332 38477 53 198 343 488
## [13837] 633 778 923 1068 1213 1358 1503 1648 1793 1938 2083 2228
## [13849] 2373 2518 2663 2808 2953 3098 3243 3388 3533 3678 3823 3968
## [13861] 4113 4258 4403 4548 4693 4838 4983 5128 5273 5418 5563 5708
## [13873] 5853 5998 6143 6288 6433 6578 6723 6868 7013 7158 7303 7448
## [13885] 7593 7738 7883 8028 8173 8318 8463 8608 8753 8898 9043 9188
## [13897] 9333 9478 9623 9768 9913 10058 10203 10348 10493 10638 10783 10928
## [13909] 11073 11218 11363 11508 11653 11798 11943 12088 12233 12378 12523 12668
## [13921] 12813 12958 13103 13248 13393 13538 13683 13828 13973 14118 14263 14408
## [13933] 14553 14698 14843 14988 15133 15278 15423 15568 15713 15858 16003 16148
## [13945] 16293 16438 16583 16728 16873 17018 17163 17308 17453 17598 17743 17888
## [13957] 18033 18178 18323 18468 18613 18758 18903 19048 19193 19338 19483 19628
## [13969] 19773 19918 20063 20208 20353 20498 20643 20788 20933 21078 21223 21368
## [13981] 21513 21658 21803 21948 22093 22238 22383 22528 22673 22818 22963 23108
## [13993] 23253 23398 23543 23688 23833 23978 24123 24268 24413 24558 24703 24848
## [14005] 24993 25138 25283 25428 25573 25718 25863 26008 26153 26298 26443 26588
## [14017] 26733 26878 27023 27168 27313 27458 27603 27748 27893 28038 28183 28328
## [14029] 28473 28618 28763 28908 29053 29198 29343 29488 29633 29778 29923 30068
## [14041] 30213 30358 30503 30648 30793 30938 31083 31228 31373 31518 31663 31808
## [14053] 31953 32098 32243 32388 32533 32678 32823 32968 33113 33258 33403 33548
## [14065] 33693 33838 33983 34128 34273 34418 34563 34708 34853 34998 35143 35288
## [14077] 35433 35578 35723 35868 36013 36158 36303 36448 36593 36738 36883 37028
## [14089] 37173 37318 37463 37608 37753 37898 38043 38188 38333 38478 54 199
## [14101] 344 489 634 779 924 1069 1214 1359 1504 1649 1794 1939
## [14113] 2084 2229 2374 2519 2664 2809 2954 3099 3244 3389 3534 3679
## [14125] 3824 3969 4114 4259 4404 4549 4694 4839 4984 5129 5274 5419
## [14137] 5564 5709 5854 5999 6144 6289 6434 6579 6724 6869 7014 7159
## [14149] 7304 7449 7594 7739 7884 8029 8174 8319 8464 8609 8754 8899
## [14161] 9044 9189 9334 9479 9624 9769 9914 10059 10204 10349 10494 10639
## [14173] 10784 10929 11074 11219 11364 11509 11654 11799 11944 12089 12234 12379
## [14185] 12524 12669 12814 12959 13104 13249 13394 13539 13684 13829 13974 14119
## [14197] 14264 14409 14554 14699 14844 14989 15134 15279 15424 15569 15714 15859
## [14209] 16004 16149 16294 16439 16584 16729 16874 17019 17164 17309 17454 17599
## [14221] 17744 17889 18034 18179 18324 18469 18614 18759 18904 19049 19194 19339
## [14233] 19484 19629 19774 19919 20064 20209 20354 20499 20644 20789 20934 21079
## [14245] 21224 21369 21514 21659 21804 21949 22094 22239 22384 22529 22674 22819
## [14257] 22964 23109 23254 23399 23544 23689 23834 23979 24124 24269 24414 24559
## [14269] 24704 24849 24994 25139 25284 25429 25574 25719 25864 26009 26154 26299
## [14281] 26444 26589 26734 26879 27024 27169 27314 27459 27604 27749 27894 28039
## [14293] 28184 28329 28474 28619 28764 28909 29054 29199 29344 29489 29634 29779
## [14305] 29924 30069 30214 30359 30504 30649 30794 30939 31084 31229 31374 31519
## [14317] 31664 31809 31954 32099 32244 32389 32534 32679 32824 32969 33114 33259
## [14329] 33404 33549 33694 33839 33984 34129 34274 34419 34564 34709 34854 34999
## [14341] 35144 35289 35434 35579 35724 35869 36014 36159 36304 36449 36594 36739
## [14353] 36884 37029 37174 37319 37464 37609 37754 37899 38044 38189 38334 38479
## [14365] 55 200 345 490 635 780 925 1070 1215 1360 1505 1650
## [14377] 1795 1940 2085 2230 2375 2520 2665 2810 2955 3100 3245 3390
## [14389] 3535 3680 3825 3970 4115 4260 4405 4550 4695 4840 4985 5130
## [14401] 5275 5420 5565 5710 5855 6000 6145 6290 6435 6580 6725 6870
## [14413] 7015 7160 7305 7450 7595 7740 7885 8030 8175 8320 8465 8610
## [14425] 8755 8900 9045 9190 9335 9480 9625 9770 9915 10060 10205 10350
## [14437] 10495 10640 10785 10930 11075 11220 11365 11510 11655 11800 11945 12090
## [14449] 12235 12380 12525 12670 12815 12960 13105 13250 13395 13540 13685 13830
## [14461] 13975 14120 14265 14410 14555 14700 14845 14990 15135 15280 15425 15570
## [14473] 15715 15860 16005 16150 16295 16440 16585 16730 16875 17020 17165 17310
## [14485] 17455 17600 17745 17890 18035 18180 18325 18470 18615 18760 18905 19050
## [14497] 19195 19340 19485 19630 19775 19920 20065 20210 20355 20500 20645 20790
## [14509] 20935 21080 21225 21370 21515 21660 21805 21950 22095 22240 22385 22530
## [14521] 22675 22820 22965 23110 23255 23400 23545 23690 23835 23980 24125 24270
## [14533] 24415 24560 24705 24850 24995 25140 25285 25430 25575 25720 25865 26010
## [14545] 26155 26300 26445 26590 26735 26880 27025 27170 27315 27460 27605 27750
## [14557] 27895 28040 28185 28330 28475 28620 28765 28910 29055 29200 29345 29490
## [14569] 29635 29780 29925 30070 30215 30360 30505 30650 30795 30940 31085 31230
## [14581] 31375 31520 31665 31810 31955 32100 32245 32390 32535 32680 32825 32970
## [14593] 33115 33260 33405 33550 33695 33840 33985 34130 34275 34420 34565 34710
## [14605] 34855 35000 35145 35290 35435 35580 35725 35870 36015 36160 36305 36450
## [14617] 36595 36740 36885 37030 37175 37320 37465 37610 37755 37900 38045 38190
## [14629] 38335 38480 56 201 346 491 636 781 926 1071 1216 1361
## [14641] 1506 1651 1796 1941 2086 2231 2376 2521 2666 2811 2956 3101
## [14653] 3246 3391 3536 3681 3826 3971 4116 4261 4406 4551 4696 4841
## [14665] 4986 5131 5276 5421 5566 5711 5856 6001 6146 6291 6436 6581
## [14677] 6726 6871 7016 7161 7306 7451 7596 7741 7886 8031 8176 8321
## [14689] 8466 8611 8756 8901 9046 9191 9336 9481 9626 9771 9916 10061
## [14701] 10206 10351 10496 10641 10786 10931 11076 11221 11366 11511 11656 11801
## [14713] 11946 12091 12236 12381 12526 12671 12816 12961 13106 13251 13396 13541
## [14725] 13686 13831 13976 14121 14266 14411 14556 14701 14846 14991 15136 15281
## [14737] 15426 15571 15716 15861 16006 16151 16296 16441 16586 16731 16876 17021
## [14749] 17166 17311 17456 17601 17746 17891 18036 18181 18326 18471 18616 18761
## [14761] 18906 19051 19196 19341 19486 19631 19776 19921 20066 20211 20356 20501
## [14773] 20646 20791 20936 21081 21226 21371 21516 21661 21806 21951 22096 22241
## [14785] 22386 22531 22676 22821 22966 23111 23256 23401 23546 23691 23836 23981
## [14797] 24126 24271 24416 24561 24706 24851 24996 25141 25286 25431 25576 25721
## [14809] 25866 26011 26156 26301 26446 26591 26736 26881 27026 27171 27316 27461
## [14821] 27606 27751 27896 28041 28186 28331 28476 28621 28766 28911 29056 29201
## [14833] 29346 29491 29636 29781 29926 30071 30216 30361 30506 30651 30796 30941
## [14845] 31086 31231 31376 31521 31666 31811 31956 32101 32246 32391 32536 32681
## [14857] 32826 32971 33116 33261 33406 33551 33696 33841 33986 34131 34276 34421
## [14869] 34566 34711 34856 35001 35146 35291 35436 35581 35726 35871 36016 36161
## [14881] 36306 36451 36596 36741 36886 37031 37176 37321 37466 37611 37756 37901
## [14893] 38046 38191 38336 38481 57 202 347 492 637 782 927 1072
## [14905] 1217 1362 1507 1652 1797 1942 2087 2232 2377 2522 2667 2812
## [14917] 2957 3102 3247 3392 3537 3682 3827 3972 4117 4262 4407 4552
## [14929] 4697 4842 4987 5132 5277 5422 5567 5712 5857 6002 6147 6292
## [14941] 6437 6582 6727 6872 7017 7162 7307 7452 7597 7742 7887 8032
## [14953] 8177 8322 8467 8612 8757 8902 9047 9192 9337 9482 9627 9772
## [14965] 9917 10062 10207 10352 10497 10642 10787 10932 11077 11222 11367 11512
## [14977] 11657 11802 11947 12092 12237 12382 12527 12672 12817 12962 13107 13252
## [14989] 13397 13542 13687 13832 13977 14122 14267 14412 14557 14702 14847 14992
## [15001] 15137 15282 15427 15572 15717 15862 16007 16152 16297 16442 16587 16732
## [15013] 16877 17022 17167 17312 17457 17602 17747 17892 18037 18182 18327 18472
## [15025] 18617 18762 18907 19052 19197 19342 19487 19632 19777 19922 20067 20212
## [15037] 20357 20502 20647 20792 20937 21082 21227 21372 21517 21662 21807 21952
## [15049] 22097 22242 22387 22532 22677 22822 22967 23112 23257 23402 23547 23692
## [15061] 23837 23982 24127 24272 24417 24562 24707 24852 24997 25142 25287 25432
## [15073] 25577 25722 25867 26012 26157 26302 26447 26592 26737 26882 27027 27172
## [15085] 27317 27462 27607 27752 27897 28042 28187 28332 28477 28622 28767 28912
## [15097] 29057 29202 29347 29492 29637 29782 29927 30072 30217 30362 30507 30652
## [15109] 30797 30942 31087 31232 31377 31522 31667 31812 31957 32102 32247 32392
## [15121] 32537 32682 32827 32972 33117 33262 33407 33552 33697 33842 33987 34132
## [15133] 34277 34422 34567 34712 34857 35002 35147 35292 35437 35582 35727 35872
## [15145] 36017 36162 36307 36452 36597 36742 36887 37032 37177 37322 37467 37612
## [15157] 37757 37902 38047 38192 38337 38482 58 203 348 493 638 783
## [15169] 928 1073 1218 1363 1508 1653 1798 1943 2088 2233 2378 2523
## [15181] 2668 2813 2958 3103 3248 3393 3538 3683 3828 3973 4118 4263
## [15193] 4408 4553 4698 4843 4988 5133 5278 5423 5568 5713 5858 6003
## [15205] 6148 6293 6438 6583 6728 6873 7018 7163 7308 7453 7598 7743
## [15217] 7888 8033 8178 8323 8468 8613 8758 8903 9048 9193 9338 9483
## [15229] 9628 9773 9918 10063 10208 10353 10498 10643 10788 10933 11078 11223
## [15241] 11368 11513 11658 11803 11948 12093 12238 12383 12528 12673 12818 12963
## [15253] 13108 13253 13398 13543 13688 13833 13978 14123 14268 14413 14558 14703
## [15265] 14848 14993 15138 15283 15428 15573 15718 15863 16008 16153 16298 16443
## [15277] 16588 16733 16878 17023 17168 17313 17458 17603 17748 17893 18038 18183
## [15289] 18328 18473 18618 18763 18908 19053 19198 19343 19488 19633 19778 19923
## [15301] 20068 20213 20358 20503 20648 20793 20938 21083 21228 21373 21518 21663
## [15313] 21808 21953 22098 22243 22388 22533 22678 22823 22968 23113 23258 23403
## [15325] 23548 23693 23838 23983 24128 24273 24418 24563 24708 24853 24998 25143
## [15337] 25288 25433 25578 25723 25868 26013 26158 26303 26448 26593 26738 26883
## [15349] 27028 27173 27318 27463 27608 27753 27898 28043 28188 28333 28478 28623
## [15361] 28768 28913 29058 29203 29348 29493 29638 29783 29928 30073 30218 30363
## [15373] 30508 30653 30798 30943 31088 31233 31378 31523 31668 31813 31958 32103
## [15385] 32248 32393 32538 32683 32828 32973 33118 33263 33408 33553 33698 33843
## [15397] 33988 34133 34278 34423 34568 34713 34858 35003 35148 35293 35438 35583
## [15409] 35728 35873 36018 36163 36308 36453 36598 36743 36888 37033 37178 37323
## [15421] 37468 37613 37758 37903 38048 38193 38338 38483 59 204 349 494
## [15433] 639 784 929 1074 1219 1364 1509 1654 1799 1944 2089 2234
## [15445] 2379 2524 2669 2814 2959 3104 3249 3394 3539 3684 3829 3974
## [15457] 4119 4264 4409 4554 4699 4844 4989 5134 5279 5424 5569 5714
## [15469] 5859 6004 6149 6294 6439 6584 6729 6874 7019 7164 7309 7454
## [15481] 7599 7744 7889 8034 8179 8324 8469 8614 8759 8904 9049 9194
## [15493] 9339 9484 9629 9774 9919 10064 10209 10354 10499 10644 10789 10934
## [15505] 11079 11224 11369 11514 11659 11804 11949 12094 12239 12384 12529 12674
## [15517] 12819 12964 13109 13254 13399 13544 13689 13834 13979 14124 14269 14414
## [15529] 14559 14704 14849 14994 15139 15284 15429 15574 15719 15864 16009 16154
## [15541] 16299 16444 16589 16734 16879 17024 17169 17314 17459 17604 17749 17894
## [15553] 18039 18184 18329 18474 18619 18764 18909 19054 19199 19344 19489 19634
## [15565] 19779 19924 20069 20214 20359 20504 20649 20794 20939 21084 21229 21374
## [15577] 21519 21664 21809 21954 22099 22244 22389 22534 22679 22824 22969 23114
## [15589] 23259 23404 23549 23694 23839 23984 24129 24274 24419 24564 24709 24854
## [15601] 24999 25144 25289 25434 25579 25724 25869 26014 26159 26304 26449 26594
## [15613] 26739 26884 27029 27174 27319 27464 27609 27754 27899 28044 28189 28334
## [15625] 28479 28624 28769 28914 29059 29204 29349 29494 29639 29784 29929 30074
## [15637] 30219 30364 30509 30654 30799 30944 31089 31234 31379 31524 31669 31814
## [15649] 31959 32104 32249 32394 32539 32684 32829 32974 33119 33264 33409 33554
## [15661] 33699 33844 33989 34134 34279 34424 34569 34714 34859 35004 35149 35294
## [15673] 35439 35584 35729 35874 36019 36164 36309 36454 36599 36744 36889 37034
## [15685] 37179 37324 37469 37614 37759 37904 38049 38194 38339 38484 60 205
## [15697] 350 495 640 785 930 1075 1220 1365 1510 1655 1800 1945
## [15709] 2090 2235 2380 2525 2670 2815 2960 3105 3250 3395 3540 3685
## [15721] 3830 3975 4120 4265 4410 4555 4700 4845 4990 5135 5280 5425
## [15733] 5570 5715 5860 6005 6150 6295 6440 6585 6730 6875 7020 7165
## [15745] 7310 7455 7600 7745 7890 8035 8180 8325 8470 8615 8760 8905
## [15757] 9050 9195 9340 9485 9630 9775 9920 10065 10210 10355 10500 10645
## [15769] 10790 10935 11080 11225 11370 11515 11660 11805 11950 12095 12240 12385
## [15781] 12530 12675 12820 12965 13110 13255 13400 13545 13690 13835 13980 14125
## [15793] 14270 14415 14560 14705 14850 14995 15140 15285 15430 15575 15720 15865
## [15805] 16010 16155 16300 16445 16590 16735 16880 17025 17170 17315 17460 17605
## [15817] 17750 17895 18040 18185 18330 18475 18620 18765 18910 19055 19200 19345
## [15829] 19490 19635 19780 19925 20070 20215 20360 20505 20650 20795 20940 21085
## [15841] 21230 21375 21520 21665 21810 21955 22100 22245 22390 22535 22680 22825
## [15853] 22970 23115 23260 23405 23550 23695 23840 23985 24130 24275 24420 24565
## [15865] 24710 24855 25000 25145 25290 25435 25580 25725 25870 26015 26160 26305
## [15877] 26450 26595 26740 26885 27030 27175 27320 27465 27610 27755 27900 28045
## [15889] 28190 28335 28480 28625 28770 28915 29060 29205 29350 29495 29640 29785
## [15901] 29930 30075 30220 30365 30510 30655 30800 30945 31090 31235 31380 31525
## [15913] 31670 31815 31960 32105 32250 32395 32540 32685 32830 32975 33120 33265
## [15925] 33410 33555 33700 33845 33990 34135 34280 34425 34570 34715 34860 35005
## [15937] 35150 35295 35440 35585 35730 35875 36020 36165 36310 36455 36600 36745
## [15949] 36890 37035 37180 37325 37470 37615 37760 37905 38050 38195 38340 38485
## [15961] 61 206 351 496 641 786 931 1076 1221 1366 1511 1656
## [15973] 1801 1946 2091 2236 2381 2526 2671 2816 2961 3106 3251 3396
## [15985] 3541 3686 3831 3976 4121 4266 4411 4556 4701 4846 4991 5136
## [15997] 5281 5426 5571 5716 5861 6006 6151 6296 6441 6586 6731 6876
## [16009] 7021 7166 7311 7456 7601 7746 7891 8036 8181 8326 8471 8616
## [16021] 8761 8906 9051 9196 9341 9486 9631 9776 9921 10066 10211 10356
## [16033] 10501 10646 10791 10936 11081 11226 11371 11516 11661 11806 11951 12096
## [16045] 12241 12386 12531 12676 12821 12966 13111 13256 13401 13546 13691 13836
## [16057] 13981 14126 14271 14416 14561 14706 14851 14996 15141 15286 15431 15576
## [16069] 15721 15866 16011 16156 16301 16446 16591 16736 16881 17026 17171 17316
## [16081] 17461 17606 17751 17896 18041 18186 18331 18476 18621 18766 18911 19056
## [16093] 19201 19346 19491 19636 19781 19926 20071 20216 20361 20506 20651 20796
## [16105] 20941 21086 21231 21376 21521 21666 21811 21956 22101 22246 22391 22536
## [16117] 22681 22826 22971 23116 23261 23406 23551 23696 23841 23986 24131 24276
## [16129] 24421 24566 24711 24856 25001 25146 25291 25436 25581 25726 25871 26016
## [16141] 26161 26306 26451 26596 26741 26886 27031 27176 27321 27466 27611 27756
## [16153] 27901 28046 28191 28336 28481 28626 28771 28916 29061 29206 29351 29496
## [16165] 29641 29786 29931 30076 30221 30366 30511 30656 30801 30946 31091 31236
## [16177] 31381 31526 31671 31816 31961 32106 32251 32396 32541 32686 32831 32976
## [16189] 33121 33266 33411 33556 33701 33846 33991 34136 34281 34426 34571 34716
## [16201] 34861 35006 35151 35296 35441 35586 35731 35876 36021 36166 36311 36456
## [16213] 36601 36746 36891 37036 37181 37326 37471 37616 37761 37906 38051 38196
## [16225] 38341 38486 62 207 352 497 642 787 932 1077 1222 1367
## [16237] 1512 1657 1802 1947 2092 2237 2382 2527 2672 2817 2962 3107
## [16249] 3252 3397 3542 3687 3832 3977 4122 4267 4412 4557 4702 4847
## [16261] 4992 5137 5282 5427 5572 5717 5862 6007 6152 6297 6442 6587
## [16273] 6732 6877 7022 7167 7312 7457 7602 7747 7892 8037 8182 8327
## [16285] 8472 8617 8762 8907 9052 9197 9342 9487 9632 9777 9922 10067
## [16297] 10212 10357 10502 10647 10792 10937 11082 11227 11372 11517 11662 11807
## [16309] 11952 12097 12242 12387 12532 12677 12822 12967 13112 13257 13402 13547
## [16321] 13692 13837 13982 14127 14272 14417 14562 14707 14852 14997 15142 15287
## [16333] 15432 15577 15722 15867 16012 16157 16302 16447 16592 16737 16882 17027
## [16345] 17172 17317 17462 17607 17752 17897 18042 18187 18332 18477 18622 18767
## [16357] 18912 19057 19202 19347 19492 19637 19782 19927 20072 20217 20362 20507
## [16369] 20652 20797 20942 21087 21232 21377 21522 21667 21812 21957 22102 22247
## [16381] 22392 22537 22682 22827 22972 23117 23262 23407 23552 23697 23842 23987
## [16393] 24132 24277 24422 24567 24712 24857 25002 25147 25292 25437 25582 25727
## [16405] 25872 26017 26162 26307 26452 26597 26742 26887 27032 27177 27322 27467
## [16417] 27612 27757 27902 28047 28192 28337 28482 28627 28772 28917 29062 29207
## [16429] 29352 29497 29642 29787 29932 30077 30222 30367 30512 30657 30802 30947
## [16441] 31092 31237 31382 31527 31672 31817 31962 32107 32252 32397 32542 32687
## [16453] 32832 32977 33122 33267 33412 33557 33702 33847 33992 34137 34282 34427
## [16465] 34572 34717 34862 35007 35152 35297 35442 35587 35732 35877 36022 36167
## [16477] 36312 36457 36602 36747 36892 37037 37182 37327 37472 37617 37762 37907
## [16489] 38052 38197 38342 38487 63 208 353 498 643 788 933 1078
## [16501] 1223 1368 1513 1658 1803 1948 2093 2238 2383 2528 2673 2818
## [16513] 2963 3108 3253 3398 3543 3688 3833 3978 4123 4268 4413 4558
## [16525] 4703 4848 4993 5138 5283 5428 5573 5718 5863 6008 6153 6298
## [16537] 6443 6588 6733 6878 7023 7168 7313 7458 7603 7748 7893 8038
## [16549] 8183 8328 8473 8618 8763 8908 9053 9198 9343 9488 9633 9778
## [16561] 9923 10068 10213 10358 10503 10648 10793 10938 11083 11228 11373 11518
## [16573] 11663 11808 11953 12098 12243 12388 12533 12678 12823 12968 13113 13258
## [16585] 13403 13548 13693 13838 13983 14128 14273 14418 14563 14708 14853 14998
## [16597] 15143 15288 15433 15578 15723 15868 16013 16158 16303 16448 16593 16738
## [16609] 16883 17028 17173 17318 17463 17608 17753 17898 18043 18188 18333 18478
## [16621] 18623 18768 18913 19058 19203 19348 19493 19638 19783 19928 20073 20218
## [16633] 20363 20508 20653 20798 20943 21088 21233 21378 21523 21668 21813 21958
## [16645] 22103 22248 22393 22538 22683 22828 22973 23118 23263 23408 23553 23698
## [16657] 23843 23988 24133 24278 24423 24568 24713 24858 25003 25148 25293 25438
## [16669] 25583 25728 25873 26018 26163 26308 26453 26598 26743 26888 27033 27178
## [16681] 27323 27468 27613 27758 27903 28048 28193 28338 28483 28628 28773 28918
## [16693] 29063 29208 29353 29498 29643 29788 29933 30078 30223 30368 30513 30658
## [16705] 30803 30948 31093 31238 31383 31528 31673 31818 31963 32108 32253 32398
## [16717] 32543 32688 32833 32978 33123 33268 33413 33558 33703 33848 33993 34138
## [16729] 34283 34428 34573 34718 34863 35008 35153 35298 35443 35588 35733 35878
## [16741] 36023 36168 36313 36458 36603 36748 36893 37038 37183 37328 37473 37618
## [16753] 37763 37908 38053 38198 38343 38488 64 209 354 499 644 789
## [16765] 934 1079 1224 1369 1514 1659 1804 1949 2094 2239 2384 2529
## [16777] 2674 2819 2964 3109 3254 3399 3544 3689 3834 3979 4124 4269
## [16789] 4414 4559 4704 4849 4994 5139 5284 5429 5574 5719 5864 6009
## [16801] 6154 6299 6444 6589 6734 6879 7024 7169 7314 7459 7604 7749
## [16813] 7894 8039 8184 8329 8474 8619 8764 8909 9054 9199 9344 9489
## [16825] 9634 9779 9924 10069 10214 10359 10504 10649 10794 10939 11084 11229
## [16837] 11374 11519 11664 11809 11954 12099 12244 12389 12534 12679 12824 12969
## [16849] 13114 13259 13404 13549 13694 13839 13984 14129 14274 14419 14564 14709
## [16861] 14854 14999 15144 15289 15434 15579 15724 15869 16014 16159 16304 16449
## [16873] 16594 16739 16884 17029 17174 17319 17464 17609 17754 17899 18044 18189
## [16885] 18334 18479 18624 18769 18914 19059 19204 19349 19494 19639 19784 19929
## [16897] 20074 20219 20364 20509 20654 20799 20944 21089 21234 21379 21524 21669
## [16909] 21814 21959 22104 22249 22394 22539 22684 22829 22974 23119 23264 23409
## [16921] 23554 23699 23844 23989 24134 24279 24424 24569 24714 24859 25004 25149
## [16933] 25294 25439 25584 25729 25874 26019 26164 26309 26454 26599 26744 26889
## [16945] 27034 27179 27324 27469 27614 27759 27904 28049 28194 28339 28484 28629
## [16957] 28774 28919 29064 29209 29354 29499 29644 29789 29934 30079 30224 30369
## [16969] 30514 30659 30804 30949 31094 31239 31384 31529 31674 31819 31964 32109
## [16981] 32254 32399 32544 32689 32834 32979 33124 33269 33414 33559 33704 33849
## [16993] 33994 34139 34284 34429 34574 34719 34864 35009 35154 35299 35444 35589
## [17005] 35734 35879 36024 36169 36314 36459 36604 36749 36894 37039 37184 37329
## [17017] 37474 37619 37764 37909 38054 38199 38344 38489 65 210 355 500
## [17029] 645 790 935 1080 1225 1370 1515 1660 1805 1950 2095 2240
## [17041] 2385 2530 2675 2820 2965 3110 3255 3400 3545 3690 3835 3980
## [17053] 4125 4270 4415 4560 4705 4850 4995 5140 5285 5430 5575 5720
## [17065] 5865 6010 6155 6300 6445 6590 6735 6880 7025 7170 7315 7460
## [17077] 7605 7750 7895 8040 8185 8330 8475 8620 8765 8910 9055 9200
## [17089] 9345 9490 9635 9780 9925 10070 10215 10360 10505 10650 10795 10940
## [17101] 11085 11230 11375 11520 11665 11810 11955 12100 12245 12390 12535 12680
## [17113] 12825 12970 13115 13260 13405 13550 13695 13840 13985 14130 14275 14420
## [17125] 14565 14710 14855 15000 15145 15290 15435 15580 15725 15870 16015 16160
## [17137] 16305 16450 16595 16740 16885 17030 17175 17320 17465 17610 17755 17900
## [17149] 18045 18190 18335 18480 18625 18770 18915 19060 19205 19350 19495 19640
## [17161] 19785 19930 20075 20220 20365 20510 20655 20800 20945 21090 21235 21380
## [17173] 21525 21670 21815 21960 22105 22250 22395 22540 22685 22830 22975 23120
## [17185] 23265 23410 23555 23700 23845 23990 24135 24280 24425 24570 24715 24860
## [17197] 25005 25150 25295 25440 25585 25730 25875 26020 26165 26310 26455 26600
## [17209] 26745 26890 27035 27180 27325 27470 27615 27760 27905 28050 28195 28340
## [17221] 28485 28630 28775 28920 29065 29210 29355 29500 29645 29790 29935 30080
## [17233] 30225 30370 30515 30660 30805 30950 31095 31240 31385 31530 31675 31820
## [17245] 31965 32110 32255 32400 32545 32690 32835 32980 33125 33270 33415 33560
## [17257] 33705 33850 33995 34140 34285 34430 34575 34720 34865 35010 35155 35300
## [17269] 35445 35590 35735 35880 36025 36170 36315 36460 36605 36750 36895 37040
## [17281] 37185 37330 37475 37620 37765 37910 38055 38200 38345 38490 66 211
## [17293] 356 501 646 791 936 1081 1226 1371 1516 1661 1806 1951
## [17305] 2096 2241 2386 2531 2676 2821 2966 3111 3256 3401 3546 3691
## [17317] 3836 3981 4126 4271 4416 4561 4706 4851 4996 5141 5286 5431
## [17329] 5576 5721 5866 6011 6156 6301 6446 6591 6736 6881 7026 7171
## [17341] 7316 7461 7606 7751 7896 8041 8186 8331 8476 8621 8766 8911
## [17353] 9056 9201 9346 9491 9636 9781 9926 10071 10216 10361 10506 10651
## [17365] 10796 10941 11086 11231 11376 11521 11666 11811 11956 12101 12246 12391
## [17377] 12536 12681 12826 12971 13116 13261 13406 13551 13696 13841 13986 14131
## [17389] 14276 14421 14566 14711 14856 15001 15146 15291 15436 15581 15726 15871
## [17401] 16016 16161 16306 16451 16596 16741 16886 17031 17176 17321 17466 17611
## [17413] 17756 17901 18046 18191 18336 18481 18626 18771 18916 19061 19206 19351
## [17425] 19496 19641 19786 19931 20076 20221 20366 20511 20656 20801 20946 21091
## [17437] 21236 21381 21526 21671 21816 21961 22106 22251 22396 22541 22686 22831
## [17449] 22976 23121 23266 23411 23556 23701 23846 23991 24136 24281 24426 24571
## [17461] 24716 24861 25006 25151 25296 25441 25586 25731 25876 26021 26166 26311
## [17473] 26456 26601 26746 26891 27036 27181 27326 27471 27616 27761 27906 28051
## [17485] 28196 28341 28486 28631 28776 28921 29066 29211 29356 29501 29646 29791
## [17497] 29936 30081 30226 30371 30516 30661 30806 30951 31096 31241 31386 31531
## [17509] 31676 31821 31966 32111 32256 32401 32546 32691 32836 32981 33126 33271
## [17521] 33416 33561 33706 33851 33996 34141 34286 34431 34576 34721 34866 35011
## [17533] 35156 35301 35446 35591 35736 35881 36026 36171 36316 36461 36606 36751
## [17545] 36896 37041 37186 37331 37476 37621 37766 37911 38056 38201 38346 38491
## [17557] 67 212 357 502 647 792 937 1082 1227 1372 1517 1662
## [17569] 1807 1952 2097 2242 2387 2532 2677 2822 2967 3112 3257 3402
## [17581] 3547 3692 3837 3982 4127 4272 4417 4562 4707 4852 4997 5142
## [17593] 5287 5432 5577 5722 5867 6012 6157 6302 6447 6592 6737 6882
## [17605] 7027 7172 7317 7462 7607 7752 7897 8042 8187 8332 8477 8622
## [17617] 8767 8912 9057 9202 9347 9492 9637 9782 9927 10072 10217 10362
## [17629] 10507 10652 10797 10942 11087 11232 11377 11522 11667 11812 11957 12102
## [17641] 12247 12392 12537 12682 12827 12972 13117 13262 13407 13552 13697 13842
## [17653] 13987 14132 14277 14422 14567 14712 14857 15002 15147 15292 15437 15582
## [17665] 15727 15872 16017 16162 16307 16452 16597 16742 16887 17032 17177 17322
## [17677] 17467 17612 17757 17902 18047 18192 18337 18482 18627 18772 18917 19062
## [17689] 19207 19352 19497 19642 19787 19932 20077 20222 20367 20512 20657 20802
## [17701] 20947 21092 21237 21382 21527 21672 21817 21962 22107 22252 22397 22542
## [17713] 22687 22832 22977 23122 23267 23412 23557 23702 23847 23992 24137 24282
## [17725] 24427 24572 24717 24862 25007 25152 25297 25442 25587 25732 25877 26022
## [17737] 26167 26312 26457 26602 26747 26892 27037 27182 27327 27472 27617 27762
## [17749] 27907 28052 28197 28342 28487 28632 28777 28922 29067 29212 29357 29502
## [17761] 29647 29792 29937 30082 30227 30372 30517 30662 30807 30952 31097 31242
## [17773] 31387 31532 31677 31822 31967 32112 32257 32402 32547 32692 32837 32982
## [17785] 33127 33272 33417 33562 33707 33852 33997 34142 34287 34432 34577 34722
## [17797] 34867 35012 35157 35302 35447 35592 35737 35882 36027 36172 36317 36462
## [17809] 36607 36752 36897 37042 37187 37332 37477 37622 37767 37912 38057 38202
## [17821] 38347 38492 68 213 358 503 648 793 938 1083 1228 1373
## [17833] 1518 1663 1808 1953 2098 2243 2388 2533 2678 2823 2968 3113
## [17845] 3258 3403 3548 3693 3838 3983 4128 4273 4418 4563 4708 4853
## [17857] 4998 5143 5288 5433 5578 5723 5868 6013 6158 6303 6448 6593
## [17869] 6738 6883 7028 7173 7318 7463 7608 7753 7898 8043 8188 8333
## [17881] 8478 8623 8768 8913 9058 9203 9348 9493 9638 9783 9928 10073
## [17893] 10218 10363 10508 10653 10798 10943 11088 11233 11378 11523 11668 11813
## [17905] 11958 12103 12248 12393 12538 12683 12828 12973 13118 13263 13408 13553
## [17917] 13698 13843 13988 14133 14278 14423 14568 14713 14858 15003 15148 15293
## [17929] 15438 15583 15728 15873 16018 16163 16308 16453 16598 16743 16888 17033
## [17941] 17178 17323 17468 17613 17758 17903 18048 18193 18338 18483 18628 18773
## [17953] 18918 19063 19208 19353 19498 19643 19788 19933 20078 20223 20368 20513
## [17965] 20658 20803 20948 21093 21238 21383 21528 21673 21818 21963 22108 22253
## [17977] 22398 22543 22688 22833 22978 23123 23268 23413 23558 23703 23848 23993
## [17989] 24138 24283 24428 24573 24718 24863 25008 25153 25298 25443 25588 25733
## [18001] 25878 26023 26168 26313 26458 26603 26748 26893 27038 27183 27328 27473
## [18013] 27618 27763 27908 28053 28198 28343 28488 28633 28778 28923 29068 29213
## [18025] 29358 29503 29648 29793 29938 30083 30228 30373 30518 30663 30808 30953
## [18037] 31098 31243 31388 31533 31678 31823 31968 32113 32258 32403 32548 32693
## [18049] 32838 32983 33128 33273 33418 33563 33708 33853 33998 34143 34288 34433
## [18061] 34578 34723 34868 35013 35158 35303 35448 35593 35738 35883 36028 36173
## [18073] 36318 36463 36608 36753 36898 37043 37188 37333 37478 37623 37768 37913
## [18085] 38058 38203 38348 38493 69 214 359 504 649 794 939 1084
## [18097] 1229 1374 1519 1664 1809 1954 2099 2244 2389 2534 2679 2824
## [18109] 2969 3114 3259 3404 3549 3694 3839 3984 4129 4274 4419 4564
## [18121] 4709 4854 4999 5144 5289 5434 5579 5724 5869 6014 6159 6304
## [18133] 6449 6594 6739 6884 7029 7174 7319 7464 7609 7754 7899 8044
## [18145] 8189 8334 8479 8624 8769 8914 9059 9204 9349 9494 9639 9784
## [18157] 9929 10074 10219 10364 10509 10654 10799 10944 11089 11234 11379 11524
## [18169] 11669 11814 11959 12104 12249 12394 12539 12684 12829 12974 13119 13264
## [18181] 13409 13554 13699 13844 13989 14134 14279 14424 14569 14714 14859 15004
## [18193] 15149 15294 15439 15584 15729 15874 16019 16164 16309 16454 16599 16744
## [18205] 16889 17034 17179 17324 17469 17614 17759 17904 18049 18194 18339 18484
## [18217] 18629 18774 18919 19064 19209 19354 19499 19644 19789 19934 20079 20224
## [18229] 20369 20514 20659 20804 20949 21094 21239 21384 21529 21674 21819 21964
## [18241] 22109 22254 22399 22544 22689 22834 22979 23124 23269 23414 23559 23704
## [18253] 23849 23994 24139 24284 24429 24574 24719 24864 25009 25154 25299 25444
## [18265] 25589 25734 25879 26024 26169 26314 26459 26604 26749 26894 27039 27184
## [18277] 27329 27474 27619 27764 27909 28054 28199 28344 28489 28634 28779 28924
## [18289] 29069 29214 29359 29504 29649 29794 29939 30084 30229 30374 30519 30664
## [18301] 30809 30954 31099 31244 31389 31534 31679 31824 31969 32114 32259 32404
## [18313] 32549 32694 32839 32984 33129 33274 33419 33564 33709 33854 33999 34144
## [18325] 34289 34434 34579 34724 34869 35014 35159 35304 35449 35594 35739 35884
## [18337] 36029 36174 36319 36464 36609 36754 36899 37044 37189 37334 37479 37624
## [18349] 37769 37914 38059 38204 38349 38494 70 215 360 505 650 795
## [18361] 940 1085 1230 1375 1520 1665 1810 1955 2100 2245 2390 2535
## [18373] 2680 2825 2970 3115 3260 3405 3550 3695 3840 3985 4130 4275
## [18385] 4420 4565 4710 4855 5000 5145 5290 5435 5580 5725 5870 6015
## [18397] 6160 6305 6450 6595 6740 6885 7030 7175 7320 7465 7610 7755
## [18409] 7900 8045 8190 8335 8480 8625 8770 8915 9060 9205 9350 9495
## [18421] 9640 9785 9930 10075 10220 10365 10510 10655 10800 10945 11090 11235
## [18433] 11380 11525 11670 11815 11960 12105 12250 12395 12540 12685 12830 12975
## [18445] 13120 13265 13410 13555 13700 13845 13990 14135 14280 14425 14570 14715
## [18457] 14860 15005 15150 15295 15440 15585 15730 15875 16020 16165 16310 16455
## [18469] 16600 16745 16890 17035 17180 17325 17470 17615 17760 17905 18050 18195
## [18481] 18340 18485 18630 18775 18920 19065 19210 19355 19500 19645 19790 19935
## [18493] 20080 20225 20370 20515 20660 20805 20950 21095 21240 21385 21530 21675
## [18505] 21820 21965 22110 22255 22400 22545 22690 22835 22980 23125 23270 23415
## [18517] 23560 23705 23850 23995 24140 24285 24430 24575 24720 24865 25010 25155
## [18529] 25300 25445 25590 25735 25880 26025 26170 26315 26460 26605 26750 26895
## [18541] 27040 27185 27330 27475 27620 27765 27910 28055 28200 28345 28490 28635
## [18553] 28780 28925 29070 29215 29360 29505 29650 29795 29940 30085 30230 30375
## [18565] 30520 30665 30810 30955 31100 31245 31390 31535 31680 31825 31970 32115
## [18577] 32260 32405 32550 32695 32840 32985 33130 33275 33420 33565 33710 33855
## [18589] 34000 34145 34290 34435 34580 34725 34870 35015 35160 35305 35450 35595
## [18601] 35740 35885 36030 36175 36320 36465 36610 36755 36900 37045 37190 37335
## [18613] 37480 37625 37770 37915 38060 38205 38350 38495 71 216 361 506
## [18625] 651 796 941 1086 1231 1376 1521 1666 1811 1956 2101 2246
## [18637] 2391 2536 2681 2826 2971 3116 3261 3406 3551 3696 3841 3986
## [18649] 4131 4276 4421 4566 4711 4856 5001 5146 5291 5436 5581 5726
## [18661] 5871 6016 6161 6306 6451 6596 6741 6886 7031 7176 7321 7466
## [18673] 7611 7756 7901 8046 8191 8336 8481 8626 8771 8916 9061 9206
## [18685] 9351 9496 9641 9786 9931 10076 10221 10366 10511 10656 10801 10946
## [18697] 11091 11236 11381 11526 11671 11816 11961 12106 12251 12396 12541 12686
## [18709] 12831 12976 13121 13266 13411 13556 13701 13846 13991 14136 14281 14426
## [18721] 14571 14716 14861 15006 15151 15296 15441 15586 15731 15876 16021 16166
## [18733] 16311 16456 16601 16746 16891 17036 17181 17326 17471 17616 17761 17906
## [18745] 18051 18196 18341 18486 18631 18776 18921 19066 19211 19356 19501 19646
## [18757] 19791 19936 20081 20226 20371 20516 20661 20806 20951 21096 21241 21386
## [18769] 21531 21676 21821 21966 22111 22256 22401 22546 22691 22836 22981 23126
## [18781] 23271 23416 23561 23706 23851 23996 24141 24286 24431 24576 24721 24866
## [18793] 25011 25156 25301 25446 25591 25736 25881 26026 26171 26316 26461 26606
## [18805] 26751 26896 27041 27186 27331 27476 27621 27766 27911 28056 28201 28346
## [18817] 28491 28636 28781 28926 29071 29216 29361 29506 29651 29796 29941 30086
## [18829] 30231 30376 30521 30666 30811 30956 31101 31246 31391 31536 31681 31826
## [18841] 31971 32116 32261 32406 32551 32696 32841 32986 33131 33276 33421 33566
## [18853] 33711 33856 34001 34146 34291 34436 34581 34726 34871 35016 35161 35306
## [18865] 35451 35596 35741 35886 36031 36176 36321 36466 36611 36756 36901 37046
## [18877] 37191 37336 37481 37626 37771 37916 38061 38206 38351 38496 72 217
## [18889] 362 507 652 797 942 1087 1232 1377 1522 1667 1812 1957
## [18901] 2102 2247 2392 2537 2682 2827 2972 3117 3262 3407 3552 3697
## [18913] 3842 3987 4132 4277 4422 4567 4712 4857 5002 5147 5292 5437
## [18925] 5582 5727 5872 6017 6162 6307 6452 6597 6742 6887 7032 7177
## [18937] 7322 7467 7612 7757 7902 8047 8192 8337 8482 8627 8772 8917
## [18949] 9062 9207 9352 9497 9642 9787 9932 10077 10222 10367 10512 10657
## [18961] 10802 10947 11092 11237 11382 11527 11672 11817 11962 12107 12252 12397
## [18973] 12542 12687 12832 12977 13122 13267 13412 13557 13702 13847 13992 14137
## [18985] 14282 14427 14572 14717 14862 15007 15152 15297 15442 15587 15732 15877
## [18997] 16022 16167 16312 16457 16602 16747 16892 17037 17182 17327 17472 17617
## [19009] 17762 17907 18052 18197 18342 18487 18632 18777 18922 19067 19212 19357
## [19021] 19502 19647 19792 19937 20082 20227 20372 20517 20662 20807 20952 21097
## [19033] 21242 21387 21532 21677 21822 21967 22112 22257 22402 22547 22692 22837
## [19045] 22982 23127 23272 23417 23562 23707 23852 23997 24142 24287 24432 24577
## [19057] 24722 24867 25012 25157 25302 25447 25592 25737 25882 26027 26172 26317
## [19069] 26462 26607 26752 26897 27042 27187 27332 27477 27622 27767 27912 28057
## [19081] 28202 28347 28492 28637 28782 28927 29072 29217 29362 29507 29652 29797
## [19093] 29942 30087 30232 30377 30522 30667 30812 30957 31102 31247 31392 31537
## [19105] 31682 31827 31972 32117 32262 32407 32552 32697 32842 32987 33132 33277
## [19117] 33422 33567 33712 33857 34002 34147 34292 34437 34582 34727 34872 35017
## [19129] 35162 35307 35452 35597 35742 35887 36032 36177 36322 36467 36612 36757
## [19141] 36902 37047 37192 37337 37482 37627 37772 37917 38062 38207 38352 38497
## [19153] 73 218 363 508 653 798 943 1088 1233 1378 1523 1668
## [19165] 1813 1958 2103 2248 2393 2538 2683 2828 2973 3118 3263 3408
## [19177] 3553 3698 3843 3988 4133 4278 4423 4568 4713 4858 5003 5148
## [19189] 5293 5438 5583 5728 5873 6018 6163 6308 6453 6598 6743 6888
## [19201] 7033 7178 7323 7468 7613 7758 7903 8048 8193 8338 8483 8628
## [19213] 8773 8918 9063 9208 9353 9498 9643 9788 9933 10078 10223 10368
## [19225] 10513 10658 10803 10948 11093 11238 11383 11528 11673 11818 11963 12108
## [19237] 12253 12398 12543 12688 12833 12978 13123 13268 13413 13558 13703 13848
## [19249] 13993 14138 14283 14428 14573 14718 14863 15008 15153 15298 15443 15588
## [19261] 15733 15878 16023 16168 16313 16458 16603 16748 16893 17038 17183 17328
## [19273] 17473 17618 17763 17908 18053 18198 18343 18488 18633 18778 18923 19068
## [19285] 19213 19358 19503 19648 19793 19938 20083 20228 20373 20518 20663 20808
## [19297] 20953 21098 21243 21388 21533 21678 21823 21968 22113 22258 22403 22548
## [19309] 22693 22838 22983 23128 23273 23418 23563 23708 23853 23998 24143 24288
## [19321] 24433 24578 24723 24868 25013 25158 25303 25448 25593 25738 25883 26028
## [19333] 26173 26318 26463 26608 26753 26898 27043 27188 27333 27478 27623 27768
## [19345] 27913 28058 28203 28348 28493 28638 28783 28928 29073 29218 29363 29508
## [19357] 29653 29798 29943 30088 30233 30378 30523 30668 30813 30958 31103 31248
## [19369] 31393 31538 31683 31828 31973 32118 32263 32408 32553 32698 32843 32988
## [19381] 33133 33278 33423 33568 33713 33858 34003 34148 34293 34438 34583 34728
## [19393] 34873 35018 35163 35308 35453 35598 35743 35888 36033 36178 36323 36468
## [19405] 36613 36758 36903 37048 37193 37338 37483 37628 37773 37918 38063 38208
## [19417] 38353 38498 74 219 364 509 654 799 944 1089 1234 1379
## [19429] 1524 1669 1814 1959 2104 2249 2394 2539 2684 2829 2974 3119
## [19441] 3264 3409 3554 3699 3844 3989 4134 4279 4424 4569 4714 4859
## [19453] 5004 5149 5294 5439 5584 5729 5874 6019 6164 6309 6454 6599
## [19465] 6744 6889 7034 7179 7324 7469 7614 7759 7904 8049 8194 8339
## [19477] 8484 8629 8774 8919 9064 9209 9354 9499 9644 9789 9934 10079
## [19489] 10224 10369 10514 10659 10804 10949 11094 11239 11384 11529 11674 11819
## [19501] 11964 12109 12254 12399 12544 12689 12834 12979 13124 13269 13414 13559
## [19513] 13704 13849 13994 14139 14284 14429 14574 14719 14864 15009 15154 15299
## [19525] 15444 15589 15734 15879 16024 16169 16314 16459 16604 16749 16894 17039
## [19537] 17184 17329 17474 17619 17764 17909 18054 18199 18344 18489 18634 18779
## [19549] 18924 19069 19214 19359 19504 19649 19794 19939 20084 20229 20374 20519
## [19561] 20664 20809 20954 21099 21244 21389 21534 21679 21824 21969 22114 22259
## [19573] 22404 22549 22694 22839 22984 23129 23274 23419 23564 23709 23854 23999
## [19585] 24144 24289 24434 24579 24724 24869 25014 25159 25304 25449 25594 25739
## [19597] 25884 26029 26174 26319 26464 26609 26754 26899 27044 27189 27334 27479
## [19609] 27624 27769 27914 28059 28204 28349 28494 28639 28784 28929 29074 29219
## [19621] 29364 29509 29654 29799 29944 30089 30234 30379 30524 30669 30814 30959
## [19633] 31104 31249 31394 31539 31684 31829 31974 32119 32264 32409 32554 32699
## [19645] 32844 32989 33134 33279 33424 33569 33714 33859 34004 34149 34294 34439
## [19657] 34584 34729 34874 35019 35164 35309 35454 35599 35744 35889 36034 36179
## [19669] 36324 36469 36614 36759 36904 37049 37194 37339 37484 37629 37774 37919
## [19681] 38064 38209 38354 38499 75 220 365 510 655 800 945 1090
## [19693] 1235 1380 1525 1670 1815 1960 2105 2250 2395 2540 2685 2830
## [19705] 2975 3120 3265 3410 3555 3700 3845 3990 4135 4280 4425 4570
## [19717] 4715 4860 5005 5150 5295 5440 5585 5730 5875 6020 6165 6310
## [19729] 6455 6600 6745 6890 7035 7180 7325 7470 7615 7760 7905 8050
## [19741] 8195 8340 8485 8630 8775 8920 9065 9210 9355 9500 9645 9790
## [19753] 9935 10080 10225 10370 10515 10660 10805 10950 11095 11240 11385 11530
## [19765] 11675 11820 11965 12110 12255 12400 12545 12690 12835 12980 13125 13270
## [19777] 13415 13560 13705 13850 13995 14140 14285 14430 14575 14720 14865 15010
## [19789] 15155 15300 15445 15590 15735 15880 16025 16170 16315 16460 16605 16750
## [19801] 16895 17040 17185 17330 17475 17620 17765 17910 18055 18200 18345 18490
## [19813] 18635 18780 18925 19070 19215 19360 19505 19650 19795 19940 20085 20230
## [19825] 20375 20520 20665 20810 20955 21100 21245 21390 21535 21680 21825 21970
## [19837] 22115 22260 22405 22550 22695 22840 22985 23130 23275 23420 23565 23710
## [19849] 23855 24000 24145 24290 24435 24580 24725 24870 25015 25160 25305 25450
## [19861] 25595 25740 25885 26030 26175 26320 26465 26610 26755 26900 27045 27190
## [19873] 27335 27480 27625 27770 27915 28060 28205 28350 28495 28640 28785 28930
## [19885] 29075 29220 29365 29510 29655 29800 29945 30090 30235 30380 30525 30670
## [19897] 30815 30960 31105 31250 31395 31540 31685 31830 31975 32120 32265 32410
## [19909] 32555 32700 32845 32990 33135 33280 33425 33570 33715 33860 34005 34150
## [19921] 34295 34440 34585 34730 34875 35020 35165 35310 35455 35600 35745 35890
## [19933] 36035 36180 36325 36470 36615 36760 36905 37050 37195 37340 37485 37630
## [19945] 37775 37920 38065 38210 38355 38500 76 221 366 511 656 801
## [19957] 946 1091 1236 1381 1526 1671 1816 1961 2106 2251 2396 2541
## [19969] 2686 2831 2976 3121 3266 3411 3556 3701 3846 3991 4136 4281
## [19981] 4426 4571 4716 4861 5006 5151 5296 5441 5586 5731 5876 6021
## [19993] 6166 6311 6456 6601 6746 6891 7036 7181 7326 7471 7616 7761
## [20005] 7906 8051 8196 8341 8486 8631 8776 8921 9066 9211 9356 9501
## [20017] 9646 9791 9936 10081 10226 10371 10516 10661 10806 10951 11096 11241
## [20029] 11386 11531 11676 11821 11966 12111 12256 12401 12546 12691 12836 12981
## [20041] 13126 13271 13416 13561 13706 13851 13996 14141 14286 14431 14576 14721
## [20053] 14866 15011 15156 15301 15446 15591 15736 15881 16026 16171 16316 16461
## [20065] 16606 16751 16896 17041 17186 17331 17476 17621 17766 17911 18056 18201
## [20077] 18346 18491 18636 18781 18926 19071 19216 19361 19506 19651 19796 19941
## [20089] 20086 20231 20376 20521 20666 20811 20956 21101 21246 21391 21536 21681
## [20101] 21826 21971 22116 22261 22406 22551 22696 22841 22986 23131 23276 23421
## [20113] 23566 23711 23856 24001 24146 24291 24436 24581 24726 24871 25016 25161
## [20125] 25306 25451 25596 25741 25886 26031 26176 26321 26466 26611 26756 26901
## [20137] 27046 27191 27336 27481 27626 27771 27916 28061 28206 28351 28496 28641
## [20149] 28786 28931 29076 29221 29366 29511 29656 29801 29946 30091 30236 30381
## [20161] 30526 30671 30816 30961 31106 31251 31396 31541 31686 31831 31976 32121
## [20173] 32266 32411 32556 32701 32846 32991 33136 33281 33426 33571 33716 33861
## [20185] 34006 34151 34296 34441 34586 34731 34876 35021 35166 35311 35456 35601
## [20197] 35746 35891 36036 36181 36326 36471 36616 36761 36906 37051 37196 37341
## [20209] 37486 37631 37776 37921 38066 38211 38356 38501 77 222 367 512
## [20221] 657 802 947 1092 1237 1382 1527 1672 1817 1962 2107 2252
## [20233] 2397 2542 2687 2832 2977 3122 3267 3412 3557 3702 3847 3992
## [20245] 4137 4282 4427 4572 4717 4862 5007 5152 5297 5442 5587 5732
## [20257] 5877 6022 6167 6312 6457 6602 6747 6892 7037 7182 7327 7472
## [20269] 7617 7762 7907 8052 8197 8342 8487 8632 8777 8922 9067 9212
## [20281] 9357 9502 9647 9792 9937 10082 10227 10372 10517 10662 10807 10952
## [20293] 11097 11242 11387 11532 11677 11822 11967 12112 12257 12402 12547 12692
## [20305] 12837 12982 13127 13272 13417 13562 13707 13852 13997 14142 14287 14432
## [20317] 14577 14722 14867 15012 15157 15302 15447 15592 15737 15882 16027 16172
## [20329] 16317 16462 16607 16752 16897 17042 17187 17332 17477 17622 17767 17912
## [20341] 18057 18202 18347 18492 18637 18782 18927 19072 19217 19362 19507 19652
## [20353] 19797 19942 20087 20232 20377 20522 20667 20812 20957 21102 21247 21392
## [20365] 21537 21682 21827 21972 22117 22262 22407 22552 22697 22842 22987 23132
## [20377] 23277 23422 23567 23712 23857 24002 24147 24292 24437 24582 24727 24872
## [20389] 25017 25162 25307 25452 25597 25742 25887 26032 26177 26322 26467 26612
## [20401] 26757 26902 27047 27192 27337 27482 27627 27772 27917 28062 28207 28352
## [20413] 28497 28642 28787 28932 29077 29222 29367 29512 29657 29802 29947 30092
## [20425] 30237 30382 30527 30672 30817 30962 31107 31252 31397 31542 31687 31832
## [20437] 31977 32122 32267 32412 32557 32702 32847 32992 33137 33282 33427 33572
## [20449] 33717 33862 34007 34152 34297 34442 34587 34732 34877 35022 35167 35312
## [20461] 35457 35602 35747 35892 36037 36182 36327 36472 36617 36762 36907 37052
## [20473] 37197 37342 37487 37632 37777 37922 38067 38212 38357 38502 78 223
## [20485] 368 513 658 803 948 1093 1238 1383 1528 1673 1818 1963
## [20497] 2108 2253 2398 2543 2688 2833 2978 3123 3268 3413 3558 3703
## [20509] 3848 3993 4138 4283 4428 4573 4718 4863 5008 5153 5298 5443
## [20521] 5588 5733 5878 6023 6168 6313 6458 6603 6748 6893 7038 7183
## [20533] 7328 7473 7618 7763 7908 8053 8198 8343 8488 8633 8778 8923
## [20545] 9068 9213 9358 9503 9648 9793 9938 10083 10228 10373 10518 10663
## [20557] 10808 10953 11098 11243 11388 11533 11678 11823 11968 12113 12258 12403
## [20569] 12548 12693 12838 12983 13128 13273 13418 13563 13708 13853 13998 14143
## [20581] 14288 14433 14578 14723 14868 15013 15158 15303 15448 15593 15738 15883
## [20593] 16028 16173 16318 16463 16608 16753 16898 17043 17188 17333 17478 17623
## [20605] 17768 17913 18058 18203 18348 18493 18638 18783 18928 19073 19218 19363
## [20617] 19508 19653 19798 19943 20088 20233 20378 20523 20668 20813 20958 21103
## [20629] 21248 21393 21538 21683 21828 21973 22118 22263 22408 22553 22698 22843
## [20641] 22988 23133 23278 23423 23568 23713 23858 24003 24148 24293 24438 24583
## [20653] 24728 24873 25018 25163 25308 25453 25598 25743 25888 26033 26178 26323
## [20665] 26468 26613 26758 26903 27048 27193 27338 27483 27628 27773 27918 28063
## [20677] 28208 28353 28498 28643 28788 28933 29078 29223 29368 29513 29658 29803
## [20689] 29948 30093 30238 30383 30528 30673 30818 30963 31108 31253 31398 31543
## [20701] 31688 31833 31978 32123 32268 32413 32558 32703 32848 32993 33138 33283
## [20713] 33428 33573 33718 33863 34008 34153 34298 34443 34588 34733 34878 35023
## [20725] 35168 35313 35458 35603 35748 35893 36038 36183 36328 36473 36618 36763
## [20737] 36908 37053 37198 37343 37488 37633 37778 37923 38068 38213 38358 38503
## [20749] 79 224 369 514 659 804 949 1094 1239 1384 1529 1674
## [20761] 1819 1964 2109 2254 2399 2544 2689 2834 2979 3124 3269 3414
## [20773] 3559 3704 3849 3994 4139 4284 4429 4574 4719 4864 5009 5154
## [20785] 5299 5444 5589 5734 5879 6024 6169 6314 6459 6604 6749 6894
## [20797] 7039 7184 7329 7474 7619 7764 7909 8054 8199 8344 8489 8634
## [20809] 8779 8924 9069 9214 9359 9504 9649 9794 9939 10084 10229 10374
## [20821] 10519 10664 10809 10954 11099 11244 11389 11534 11679 11824 11969 12114
## [20833] 12259 12404 12549 12694 12839 12984 13129 13274 13419 13564 13709 13854
## [20845] 13999 14144 14289 14434 14579 14724 14869 15014 15159 15304 15449 15594
## [20857] 15739 15884 16029 16174 16319 16464 16609 16754 16899 17044 17189 17334
## [20869] 17479 17624 17769 17914 18059 18204 18349 18494 18639 18784 18929 19074
## [20881] 19219 19364 19509 19654 19799 19944 20089 20234 20379 20524 20669 20814
## [20893] 20959 21104 21249 21394 21539 21684 21829 21974 22119 22264 22409 22554
## [20905] 22699 22844 22989 23134 23279 23424 23569 23714 23859 24004 24149 24294
## [20917] 24439 24584 24729 24874 25019 25164 25309 25454 25599 25744 25889 26034
## [20929] 26179 26324 26469 26614 26759 26904 27049 27194 27339 27484 27629 27774
## [20941] 27919 28064 28209 28354 28499 28644 28789 28934 29079 29224 29369 29514
## [20953] 29659 29804 29949 30094 30239 30384 30529 30674 30819 30964 31109 31254
## [20965] 31399 31544 31689 31834 31979 32124 32269 32414 32559 32704 32849 32994
## [20977] 33139 33284 33429 33574 33719 33864 34009 34154 34299 34444 34589 34734
## [20989] 34879 35024 35169 35314 35459 35604 35749 35894 36039 36184 36329 36474
## [21001] 36619 36764 36909 37054 37199 37344 37489 37634 37779 37924 38069 38214
## [21013] 38359 38504 80 225 370 515 660 805 950 1095 1240 1385
## [21025] 1530 1675 1820 1965 2110 2255 2400 2545 2690 2835 2980 3125
## [21037] 3270 3415 3560 3705 3850 3995 4140 4285 4430 4575 4720 4865
## [21049] 5010 5155 5300 5445 5590 5735 5880 6025 6170 6315 6460 6605
## [21061] 6750 6895 7040 7185 7330 7475 7620 7765 7910 8055 8200 8345
## [21073] 8490 8635 8780 8925 9070 9215 9360 9505 9650 9795 9940 10085
## [21085] 10230 10375 10520 10665 10810 10955 11100 11245 11390 11535 11680 11825
## [21097] 11970 12115 12260 12405 12550 12695 12840 12985 13130 13275 13420 13565
## [21109] 13710 13855 14000 14145 14290 14435 14580 14725 14870 15015 15160 15305
## [21121] 15450 15595 15740 15885 16030 16175 16320 16465 16610 16755 16900 17045
## [21133] 17190 17335 17480 17625 17770 17915 18060 18205 18350 18495 18640 18785
## [21145] 18930 19075 19220 19365 19510 19655 19800 19945 20090 20235 20380 20525
## [21157] 20670 20815 20960 21105 21250 21395 21540 21685 21830 21975 22120 22265
## [21169] 22410 22555 22700 22845 22990 23135 23280 23425 23570 23715 23860 24005
## [21181] 24150 24295 24440 24585 24730 24875 25020 25165 25310 25455 25600 25745
## [21193] 25890 26035 26180 26325 26470 26615 26760 26905 27050 27195 27340 27485
## [21205] 27630 27775 27920 28065 28210 28355 28500 28645 28790 28935 29080 29225
## [21217] 29370 29515 29660 29805 29950 30095 30240 30385 30530 30675 30820 30965
## [21229] 31110 31255 31400 31545 31690 31835 31980 32125 32270 32415 32560 32705
## [21241] 32850 32995 33140 33285 33430 33575 33720 33865 34010 34155 34300 34445
## [21253] 34590 34735 34880 35025 35170 35315 35460 35605 35750 35895 36040 36185
## [21265] 36330 36475 36620 36765 36910 37055 37200 37345 37490 37635 37780 37925
## [21277] 38070 38215 38360 38505 81 226 371 516 661 806 951 1096
## [21289] 1241 1386 1531 1676 1821 1966 2111 2256 2401 2546 2691 2836
## [21301] 2981 3126 3271 3416 3561 3706 3851 3996 4141 4286 4431 4576
## [21313] 4721 4866 5011 5156 5301 5446 5591 5736 5881 6026 6171 6316
## [21325] 6461 6606 6751 6896 7041 7186 7331 7476 7621 7766 7911 8056
## [21337] 8201 8346 8491 8636 8781 8926 9071 9216 9361 9506 9651 9796
## [21349] 9941 10086 10231 10376 10521 10666 10811 10956 11101 11246 11391 11536
## [21361] 11681 11826 11971 12116 12261 12406 12551 12696 12841 12986 13131 13276
## [21373] 13421 13566 13711 13856 14001 14146 14291 14436 14581 14726 14871 15016
## [21385] 15161 15306 15451 15596 15741 15886 16031 16176 16321 16466 16611 16756
## [21397] 16901 17046 17191 17336 17481 17626 17771 17916 18061 18206 18351 18496
## [21409] 18641 18786 18931 19076 19221 19366 19511 19656 19801 19946 20091 20236
## [21421] 20381 20526 20671 20816 20961 21106 21251 21396 21541 21686 21831 21976
## [21433] 22121 22266 22411 22556 22701 22846 22991 23136 23281 23426 23571 23716
## [21445] 23861 24006 24151 24296 24441 24586 24731 24876 25021 25166 25311 25456
## [21457] 25601 25746 25891 26036 26181 26326 26471 26616 26761 26906 27051 27196
## [21469] 27341 27486 27631 27776 27921 28066 28211 28356 28501 28646 28791 28936
## [21481] 29081 29226 29371 29516 29661 29806 29951 30096 30241 30386 30531 30676
## [21493] 30821 30966 31111 31256 31401 31546 31691 31836 31981 32126 32271 32416
## [21505] 32561 32706 32851 32996 33141 33286 33431 33576 33721 33866 34011 34156
## [21517] 34301 34446 34591 34736 34881 35026 35171 35316 35461 35606 35751 35896
## [21529] 36041 36186 36331 36476 36621 36766 36911 37056 37201 37346 37491 37636
## [21541] 37781 37926 38071 38216 38361 38506 82 227 372 517 662 807
## [21553] 952 1097 1242 1387 1532 1677 1822 1967 2112 2257 2402 2547
## [21565] 2692 2837 2982 3127 3272 3417 3562 3707 3852 3997 4142 4287
## [21577] 4432 4577 4722 4867 5012 5157 5302 5447 5592 5737 5882 6027
## [21589] 6172 6317 6462 6607 6752 6897 7042 7187 7332 7477 7622 7767
## [21601] 7912 8057 8202 8347 8492 8637 8782 8927 9072 9217 9362 9507
## [21613] 9652 9797 9942 10087 10232 10377 10522 10667 10812 10957 11102 11247
## [21625] 11392 11537 11682 11827 11972 12117 12262 12407 12552 12697 12842 12987
## [21637] 13132 13277 13422 13567 13712 13857 14002 14147 14292 14437 14582 14727
## [21649] 14872 15017 15162 15307 15452 15597 15742 15887 16032 16177 16322 16467
## [21661] 16612 16757 16902 17047 17192 17337 17482 17627 17772 17917 18062 18207
## [21673] 18352 18497 18642 18787 18932 19077 19222 19367 19512 19657 19802 19947
## [21685] 20092 20237 20382 20527 20672 20817 20962 21107 21252 21397 21542 21687
## [21697] 21832 21977 22122 22267 22412 22557 22702 22847 22992 23137 23282 23427
## [21709] 23572 23717 23862 24007 24152 24297 24442 24587 24732 24877 25022 25167
## [21721] 25312 25457 25602 25747 25892 26037 26182 26327 26472 26617 26762 26907
## [21733] 27052 27197 27342 27487 27632 27777 27922 28067 28212 28357 28502 28647
## [21745] 28792 28937 29082 29227 29372 29517 29662 29807 29952 30097 30242 30387
## [21757] 30532 30677 30822 30967 31112 31257 31402 31547 31692 31837 31982 32127
## [21769] 32272 32417 32562 32707 32852 32997 33142 33287 33432 33577 33722 33867
## [21781] 34012 34157 34302 34447 34592 34737 34882 35027 35172 35317 35462 35607
## [21793] 35752 35897 36042 36187 36332 36477 36622 36767 36912 37057 37202 37347
## [21805] 37492 37637 37782 37927 38072 38217 38362 38507 83 228 373 518
## [21817] 663 808 953 1098 1243 1388 1533 1678 1823 1968 2113 2258
## [21829] 2403 2548 2693 2838 2983 3128 3273 3418 3563 3708 3853 3998
## [21841] 4143 4288 4433 4578 4723 4868 5013 5158 5303 5448 5593 5738
## [21853] 5883 6028 6173 6318 6463 6608 6753 6898 7043 7188 7333 7478
## [21865] 7623 7768 7913 8058 8203 8348 8493 8638 8783 8928 9073 9218
## [21877] 9363 9508 9653 9798 9943 10088 10233 10378 10523 10668 10813 10958
## [21889] 11103 11248 11393 11538 11683 11828 11973 12118 12263 12408 12553 12698
## [21901] 12843 12988 13133 13278 13423 13568 13713 13858 14003 14148 14293 14438
## [21913] 14583 14728 14873 15018 15163 15308 15453 15598 15743 15888 16033 16178
## [21925] 16323 16468 16613 16758 16903 17048 17193 17338 17483 17628 17773 17918
## [21937] 18063 18208 18353 18498 18643 18788 18933 19078 19223 19368 19513 19658
## [21949] 19803 19948 20093 20238 20383 20528 20673 20818 20963 21108 21253 21398
## [21961] 21543 21688 21833 21978 22123 22268 22413 22558 22703 22848 22993 23138
## [21973] 23283 23428 23573 23718 23863 24008 24153 24298 24443 24588 24733 24878
## [21985] 25023 25168 25313 25458 25603 25748 25893 26038 26183 26328 26473 26618
## [21997] 26763 26908 27053 27198 27343 27488 27633 27778 27923 28068 28213 28358
## [22009] 28503 28648 28793 28938 29083 29228 29373 29518 29663 29808 29953 30098
## [22021] 30243 30388 30533 30678 30823 30968 31113 31258 31403 31548 31693 31838
## [22033] 31983 32128 32273 32418 32563 32708 32853 32998 33143 33288 33433 33578
## [22045] 33723 33868 34013 34158 34303 34448 34593 34738 34883 35028 35173 35318
## [22057] 35463 35608 35753 35898 36043 36188 36333 36478 36623 36768 36913 37058
## [22069] 37203 37348 37493 37638 37783 37928 38073 38218 38363 38508 84 229
## [22081] 374 519 664 809 954 1099 1244 1389 1534 1679 1824 1969
## [22093] 2114 2259 2404 2549 2694 2839 2984 3129 3274 3419 3564 3709
## [22105] 3854 3999 4144 4289 4434 4579 4724 4869 5014 5159 5304 5449
## [22117] 5594 5739 5884 6029 6174 6319 6464 6609 6754 6899 7044 7189
## [22129] 7334 7479 7624 7769 7914 8059 8204 8349 8494 8639 8784 8929
## [22141] 9074 9219 9364 9509 9654 9799 9944 10089 10234 10379 10524 10669
## [22153] 10814 10959 11104 11249 11394 11539 11684 11829 11974 12119 12264 12409
## [22165] 12554 12699 12844 12989 13134 13279 13424 13569 13714 13859 14004 14149
## [22177] 14294 14439 14584 14729 14874 15019 15164 15309 15454 15599 15744 15889
## [22189] 16034 16179 16324 16469 16614 16759 16904 17049 17194 17339 17484 17629
## [22201] 17774 17919 18064 18209 18354 18499 18644 18789 18934 19079 19224 19369
## [22213] 19514 19659 19804 19949 20094 20239 20384 20529 20674 20819 20964 21109
## [22225] 21254 21399 21544 21689 21834 21979 22124 22269 22414 22559 22704 22849
## [22237] 22994 23139 23284 23429 23574 23719 23864 24009 24154 24299 24444 24589
## [22249] 24734 24879 25024 25169 25314 25459 25604 25749 25894 26039 26184 26329
## [22261] 26474 26619 26764 26909 27054 27199 27344 27489 27634 27779 27924 28069
## [22273] 28214 28359 28504 28649 28794 28939 29084 29229 29374 29519 29664 29809
## [22285] 29954 30099 30244 30389 30534 30679 30824 30969 31114 31259 31404 31549
## [22297] 31694 31839 31984 32129 32274 32419 32564 32709 32854 32999 33144 33289
## [22309] 33434 33579 33724 33869 34014 34159 34304 34449 34594 34739 34884 35029
## [22321] 35174 35319 35464 35609 35754 35899 36044 36189 36334 36479 36624 36769
## [22333] 36914 37059 37204 37349 37494 37639 37784 37929 38074 38219 38364 38509
## [22345] 85 230 375 520 665 810 955 1100 1245 1390 1535 1680
## [22357] 1825 1970 2115 2260 2405 2550 2695 2840 2985 3130 3275 3420
## [22369] 3565 3710 3855 4000 4145 4290 4435 4580 4725 4870 5015 5160
## [22381] 5305 5450 5595 5740 5885 6030 6175 6320 6465 6610 6755 6900
## [22393] 7045 7190 7335 7480 7625 7770 7915 8060 8205 8350 8495 8640
## [22405] 8785 8930 9075 9220 9365 9510 9655 9800 9945 10090 10235 10380
## [22417] 10525 10670 10815 10960 11105 11250 11395 11540 11685 11830 11975 12120
## [22429] 12265 12410 12555 12700 12845 12990 13135 13280 13425 13570 13715 13860
## [22441] 14005 14150 14295 14440 14585 14730 14875 15020 15165 15310 15455 15600
## [22453] 15745 15890 16035 16180 16325 16470 16615 16760 16905 17050 17195 17340
## [22465] 17485 17630 17775 17920 18065 18210 18355 18500 18645 18790 18935 19080
## [22477] 19225 19370 19515 19660 19805 19950 20095 20240 20385 20530 20675 20820
## [22489] 20965 21110 21255 21400 21545 21690 21835 21980 22125 22270 22415 22560
## [22501] 22705 22850 22995 23140 23285 23430 23575 23720 23865 24010 24155 24300
## [22513] 24445 24590 24735 24880 25025 25170 25315 25460 25605 25750 25895 26040
## [22525] 26185 26330 26475 26620 26765 26910 27055 27200 27345 27490 27635 27780
## [22537] 27925 28070 28215 28360 28505 28650 28795 28940 29085 29230 29375 29520
## [22549] 29665 29810 29955 30100 30245 30390 30535 30680 30825 30970 31115 31260
## [22561] 31405 31550 31695 31840 31985 32130 32275 32420 32565 32710 32855 33000
## [22573] 33145 33290 33435 33580 33725 33870 34015 34160 34305 34450 34595 34740
## [22585] 34885 35030 35175 35320 35465 35610 35755 35900 36045 36190 36335 36480
## [22597] 36625 36770 36915 37060 37205 37350 37495 37640 37785 37930 38075 38220
## [22609] 38365 38510 86 231 376 521 666 811 956 1101 1246 1391
## [22621] 1536 1681 1826 1971 2116 2261 2406 2551 2696 2841 2986 3131
## [22633] 3276 3421 3566 3711 3856 4001 4146 4291 4436 4581 4726 4871
## [22645] 5016 5161 5306 5451 5596 5741 5886 6031 6176 6321 6466 6611
## [22657] 6756 6901 7046 7191 7336 7481 7626 7771 7916 8061 8206 8351
## [22669] 8496 8641 8786 8931 9076 9221 9366 9511 9656 9801 9946 10091
## [22681] 10236 10381 10526 10671 10816 10961 11106 11251 11396 11541 11686 11831
## [22693] 11976 12121 12266 12411 12556 12701 12846 12991 13136 13281 13426 13571
## [22705] 13716 13861 14006 14151 14296 14441 14586 14731 14876 15021 15166 15311
## [22717] 15456 15601 15746 15891 16036 16181 16326 16471 16616 16761 16906 17051
## [22729] 17196 17341 17486 17631 17776 17921 18066 18211 18356 18501 18646 18791
## [22741] 18936 19081 19226 19371 19516 19661 19806 19951 20096 20241 20386 20531
## [22753] 20676 20821 20966 21111 21256 21401 21546 21691 21836 21981 22126 22271
## [22765] 22416 22561 22706 22851 22996 23141 23286 23431 23576 23721 23866 24011
## [22777] 24156 24301 24446 24591 24736 24881 25026 25171 25316 25461 25606 25751
## [22789] 25896 26041 26186 26331 26476 26621 26766 26911 27056 27201 27346 27491
## [22801] 27636 27781 27926 28071 28216 28361 28506 28651 28796 28941 29086 29231
## [22813] 29376 29521 29666 29811 29956 30101 30246 30391 30536 30681 30826 30971
## [22825] 31116 31261 31406 31551 31696 31841 31986 32131 32276 32421 32566 32711
## [22837] 32856 33001 33146 33291 33436 33581 33726 33871 34016 34161 34306 34451
## [22849] 34596 34741 34886 35031 35176 35321 35466 35611 35756 35901 36046 36191
## [22861] 36336 36481 36626 36771 36916 37061 37206 37351 37496 37641 37786 37931
## [22873] 38076 38221 38366 38511 87 232 377 522 667 812 957 1102
## [22885] 1247 1392 1537 1682 1827 1972 2117 2262 2407 2552 2697 2842
## [22897] 2987 3132 3277 3422 3567 3712 3857 4002 4147 4292 4437 4582
## [22909] 4727 4872 5017 5162 5307 5452 5597 5742 5887 6032 6177 6322
## [22921] 6467 6612 6757 6902 7047 7192 7337 7482 7627 7772 7917 8062
## [22933] 8207 8352 8497 8642 8787 8932 9077 9222 9367 9512 9657 9802
## [22945] 9947 10092 10237 10382 10527 10672 10817 10962 11107 11252 11397 11542
## [22957] 11687 11832 11977 12122 12267 12412 12557 12702 12847 12992 13137 13282
## [22969] 13427 13572 13717 13862 14007 14152 14297 14442 14587 14732 14877 15022
## [22981] 15167 15312 15457 15602 15747 15892 16037 16182 16327 16472 16617 16762
## [22993] 16907 17052 17197 17342 17487 17632 17777 17922 18067 18212 18357 18502
## [23005] 18647 18792 18937 19082 19227 19372 19517 19662 19807 19952 20097 20242
## [23017] 20387 20532 20677 20822 20967 21112 21257 21402 21547 21692 21837 21982
## [23029] 22127 22272 22417 22562 22707 22852 22997 23142 23287 23432 23577 23722
## [23041] 23867 24012 24157 24302 24447 24592 24737 24882 25027 25172 25317 25462
## [23053] 25607 25752 25897 26042 26187 26332 26477 26622 26767 26912 27057 27202
## [23065] 27347 27492 27637 27782 27927 28072 28217 28362 28507 28652 28797 28942
## [23077] 29087 29232 29377 29522 29667 29812 29957 30102 30247 30392 30537 30682
## [23089] 30827 30972 31117 31262 31407 31552 31697 31842 31987 32132 32277 32422
## [23101] 32567 32712 32857 33002 33147 33292 33437 33582 33727 33872 34017 34162
## [23113] 34307 34452 34597 34742 34887 35032 35177 35322 35467 35612 35757 35902
## [23125] 36047 36192 36337 36482 36627 36772 36917 37062 37207 37352 37497 37642
## [23137] 37787 37932 38077 38222 38367 38512 88 233 378 523 668 813
## [23149] 958 1103 1248 1393 1538 1683 1828 1973 2118 2263 2408 2553
## [23161] 2698 2843 2988 3133 3278 3423 3568 3713 3858 4003 4148 4293
## [23173] 4438 4583 4728 4873 5018 5163 5308 5453 5598 5743 5888 6033
## [23185] 6178 6323 6468 6613 6758 6903 7048 7193 7338 7483 7628 7773
## [23197] 7918 8063 8208 8353 8498 8643 8788 8933 9078 9223 9368 9513
## [23209] 9658 9803 9948 10093 10238 10383 10528 10673 10818 10963 11108 11253
## [23221] 11398 11543 11688 11833 11978 12123 12268 12413 12558 12703 12848 12993
## [23233] 13138 13283 13428 13573 13718 13863 14008 14153 14298 14443 14588 14733
## [23245] 14878 15023 15168 15313 15458 15603 15748 15893 16038 16183 16328 16473
## [23257] 16618 16763 16908 17053 17198 17343 17488 17633 17778 17923 18068 18213
## [23269] 18358 18503 18648 18793 18938 19083 19228 19373 19518 19663 19808 19953
## [23281] 20098 20243 20388 20533 20678 20823 20968 21113 21258 21403 21548 21693
## [23293] 21838 21983 22128 22273 22418 22563 22708 22853 22998 23143 23288 23433
## [23305] 23578 23723 23868 24013 24158 24303 24448 24593 24738 24883 25028 25173
## [23317] 25318 25463 25608 25753 25898 26043 26188 26333 26478 26623 26768 26913
## [23329] 27058 27203 27348 27493 27638 27783 27928 28073 28218 28363 28508 28653
## [23341] 28798 28943 29088 29233 29378 29523 29668 29813 29958 30103 30248 30393
## [23353] 30538 30683 30828 30973 31118 31263 31408 31553 31698 31843 31988 32133
## [23365] 32278 32423 32568 32713 32858 33003 33148 33293 33438 33583 33728 33873
## [23377] 34018 34163 34308 34453 34598 34743 34888 35033 35178 35323 35468 35613
## [23389] 35758 35903 36048 36193 36338 36483 36628 36773 36918 37063 37208 37353
## [23401] 37498 37643 37788 37933 38078 38223 38368 38513 89 234 379 524
## [23413] 669 814 959 1104 1249 1394 1539 1684 1829 1974 2119 2264
## [23425] 2409 2554 2699 2844 2989 3134 3279 3424 3569 3714 3859 4004
## [23437] 4149 4294 4439 4584 4729 4874 5019 5164 5309 5454 5599 5744
## [23449] 5889 6034 6179 6324 6469 6614 6759 6904 7049 7194 7339 7484
## [23461] 7629 7774 7919 8064 8209 8354 8499 8644 8789 8934 9079 9224
## [23473] 9369 9514 9659 9804 9949 10094 10239 10384 10529 10674 10819 10964
## [23485] 11109 11254 11399 11544 11689 11834 11979 12124 12269 12414 12559 12704
## [23497] 12849 12994 13139 13284 13429 13574 13719 13864 14009 14154 14299 14444
## [23509] 14589 14734 14879 15024 15169 15314 15459 15604 15749 15894 16039 16184
## [23521] 16329 16474 16619 16764 16909 17054 17199 17344 17489 17634 17779 17924
## [23533] 18069 18214 18359 18504 18649 18794 18939 19084 19229 19374 19519 19664
## [23545] 19809 19954 20099 20244 20389 20534 20679 20824 20969 21114 21259 21404
## [23557] 21549 21694 21839 21984 22129 22274 22419 22564 22709 22854 22999 23144
## [23569] 23289 23434 23579 23724 23869 24014 24159 24304 24449 24594 24739 24884
## [23581] 25029 25174 25319 25464 25609 25754 25899 26044 26189 26334 26479 26624
## [23593] 26769 26914 27059 27204 27349 27494 27639 27784 27929 28074 28219 28364
## [23605] 28509 28654 28799 28944 29089 29234 29379 29524 29669 29814 29959 30104
## [23617] 30249 30394 30539 30684 30829 30974 31119 31264 31409 31554 31699 31844
## [23629] 31989 32134 32279 32424 32569 32714 32859 33004 33149 33294 33439 33584
## [23641] 33729 33874 34019 34164 34309 34454 34599 34744 34889 35034 35179 35324
## [23653] 35469 35614 35759 35904 36049 36194 36339 36484 36629 36774 36919 37064
## [23665] 37209 37354 37499 37644 37789 37934 38079 38224 38369 38514 90 235
## [23677] 380 525 670 815 960 1105 1250 1395 1540 1685 1830 1975
## [23689] 2120 2265 2410 2555 2700 2845 2990 3135 3280 3425 3570 3715
## [23701] 3860 4005 4150 4295 4440 4585 4730 4875 5020 5165 5310 5455
## [23713] 5600 5745 5890 6035 6180 6325 6470 6615 6760 6905 7050 7195
## [23725] 7340 7485 7630 7775 7920 8065 8210 8355 8500 8645 8790 8935
## [23737] 9080 9225 9370 9515 9660 9805 9950 10095 10240 10385 10530 10675
## [23749] 10820 10965 11110 11255 11400 11545 11690 11835 11980 12125 12270 12415
## [23761] 12560 12705 12850 12995 13140 13285 13430 13575 13720 13865 14010 14155
## [23773] 14300 14445 14590 14735 14880 15025 15170 15315 15460 15605 15750 15895
## [23785] 16040 16185 16330 16475 16620 16765 16910 17055 17200 17345 17490 17635
## [23797] 17780 17925 18070 18215 18360 18505 18650 18795 18940 19085 19230 19375
## [23809] 19520 19665 19810 19955 20100 20245 20390 20535 20680 20825 20970 21115
## [23821] 21260 21405 21550 21695 21840 21985 22130 22275 22420 22565 22710 22855
## [23833] 23000 23145 23290 23435 23580 23725 23870 24015 24160 24305 24450 24595
## [23845] 24740 24885 25030 25175 25320 25465 25610 25755 25900 26045 26190 26335
## [23857] 26480 26625 26770 26915 27060 27205 27350 27495 27640 27785 27930 28075
## [23869] 28220 28365 28510 28655 28800 28945 29090 29235 29380 29525 29670 29815
## [23881] 29960 30105 30250 30395 30540 30685 30830 30975 31120 31265 31410 31555
## [23893] 31700 31845 31990 32135 32280 32425 32570 32715 32860 33005 33150 33295
## [23905] 33440 33585 33730 33875 34020 34165 34310 34455 34600 34745 34890 35035
## [23917] 35180 35325 35470 35615 35760 35905 36050 36195 36340 36485 36630 36775
## [23929] 36920 37065 37210 37355 37500 37645 37790 37935 38080 38225 38370 38515
## [23941] 91 236 381 526 671 816 961 1106 1251 1396 1541 1686
## [23953] 1831 1976 2121 2266 2411 2556 2701 2846 2991 3136 3281 3426
## [23965] 3571 3716 3861 4006 4151 4296 4441 4586 4731 4876 5021 5166
## [23977] 5311 5456 5601 5746 5891 6036 6181 6326 6471 6616 6761 6906
## [23989] 7051 7196 7341 7486 7631 7776 7921 8066 8211 8356 8501 8646
## [24001] 8791 8936 9081 9226 9371 9516 9661 9806 9951 10096 10241 10386
## [24013] 10531 10676 10821 10966 11111 11256 11401 11546 11691 11836 11981 12126
## [24025] 12271 12416 12561 12706 12851 12996 13141 13286 13431 13576 13721 13866
## [24037] 14011 14156 14301 14446 14591 14736 14881 15026 15171 15316 15461 15606
## [24049] 15751 15896 16041 16186 16331 16476 16621 16766 16911 17056 17201 17346
## [24061] 17491 17636 17781 17926 18071 18216 18361 18506 18651 18796 18941 19086
## [24073] 19231 19376 19521 19666 19811 19956 20101 20246 20391 20536 20681 20826
## [24085] 20971 21116 21261 21406 21551 21696 21841 21986 22131 22276 22421 22566
## [24097] 22711 22856 23001 23146 23291 23436 23581 23726 23871 24016 24161 24306
## [24109] 24451 24596 24741 24886 25031 25176 25321 25466 25611 25756 25901 26046
## [24121] 26191 26336 26481 26626 26771 26916 27061 27206 27351 27496 27641 27786
## [24133] 27931 28076 28221 28366 28511 28656 28801 28946 29091 29236 29381 29526
## [24145] 29671 29816 29961 30106 30251 30396 30541 30686 30831 30976 31121 31266
## [24157] 31411 31556 31701 31846 31991 32136 32281 32426 32571 32716 32861 33006
## [24169] 33151 33296 33441 33586 33731 33876 34021 34166 34311 34456 34601 34746
## [24181] 34891 35036 35181 35326 35471 35616 35761 35906 36051 36196 36341 36486
## [24193] 36631 36776 36921 37066 37211 37356 37501 37646 37791 37936 38081 38226
## [24205] 38371 38516 92 237 382 527 672 817 962 1107 1252 1397
## [24217] 1542 1687 1832 1977 2122 2267 2412 2557 2702 2847 2992 3137
## [24229] 3282 3427 3572 3717 3862 4007 4152 4297 4442 4587 4732 4877
## [24241] 5022 5167 5312 5457 5602 5747 5892 6037 6182 6327 6472 6617
## [24253] 6762 6907 7052 7197 7342 7487 7632 7777 7922 8067 8212 8357
## [24265] 8502 8647 8792 8937 9082 9227 9372 9517 9662 9807 9952 10097
## [24277] 10242 10387 10532 10677 10822 10967 11112 11257 11402 11547 11692 11837
## [24289] 11982 12127 12272 12417 12562 12707 12852 12997 13142 13287 13432 13577
## [24301] 13722 13867 14012 14157 14302 14447 14592 14737 14882 15027 15172 15317
## [24313] 15462 15607 15752 15897 16042 16187 16332 16477 16622 16767 16912 17057
## [24325] 17202 17347 17492 17637 17782 17927 18072 18217 18362 18507 18652 18797
## [24337] 18942 19087 19232 19377 19522 19667 19812 19957 20102 20247 20392 20537
## [24349] 20682 20827 20972 21117 21262 21407 21552 21697 21842 21987 22132 22277
## [24361] 22422 22567 22712 22857 23002 23147 23292 23437 23582 23727 23872 24017
## [24373] 24162 24307 24452 24597 24742 24887 25032 25177 25322 25467 25612 25757
## [24385] 25902 26047 26192 26337 26482 26627 26772 26917 27062 27207 27352 27497
## [24397] 27642 27787 27932 28077 28222 28367 28512 28657 28802 28947 29092 29237
## [24409] 29382 29527 29672 29817 29962 30107 30252 30397 30542 30687 30832 30977
## [24421] 31122 31267 31412 31557 31702 31847 31992 32137 32282 32427 32572 32717
## [24433] 32862 33007 33152 33297 33442 33587 33732 33877 34022 34167 34312 34457
## [24445] 34602 34747 34892 35037 35182 35327 35472 35617 35762 35907 36052 36197
## [24457] 36342 36487 36632 36777 36922 37067 37212 37357 37502 37647 37792 37937
## [24469] 38082 38227 38372 38517 93 238 383 528 673 818 963 1108
## [24481] 1253 1398 1543 1688 1833 1978 2123 2268 2413 2558 2703 2848
## [24493] 2993 3138 3283 3428 3573 3718 3863 4008 4153 4298 4443 4588
## [24505] 4733 4878 5023 5168 5313 5458 5603 5748 5893 6038 6183 6328
## [24517] 6473 6618 6763 6908 7053 7198 7343 7488 7633 7778 7923 8068
## [24529] 8213 8358 8503 8648 8793 8938 9083 9228 9373 9518 9663 9808
## [24541] 9953 10098 10243 10388 10533 10678 10823 10968 11113 11258 11403 11548
## [24553] 11693 11838 11983 12128 12273 12418 12563 12708 12853 12998 13143 13288
## [24565] 13433 13578 13723 13868 14013 14158 14303 14448 14593 14738 14883 15028
## [24577] 15173 15318 15463 15608 15753 15898 16043 16188 16333 16478 16623 16768
## [24589] 16913 17058 17203 17348 17493 17638 17783 17928 18073 18218 18363 18508
## [24601] 18653 18798 18943 19088 19233 19378 19523 19668 19813 19958 20103 20248
## [24613] 20393 20538 20683 20828 20973 21118 21263 21408 21553 21698 21843 21988
## [24625] 22133 22278 22423 22568 22713 22858 23003 23148 23293 23438 23583 23728
## [24637] 23873 24018 24163 24308 24453 24598 24743 24888 25033 25178 25323 25468
## [24649] 25613 25758 25903 26048 26193 26338 26483 26628 26773 26918 27063 27208
## [24661] 27353 27498 27643 27788 27933 28078 28223 28368 28513 28658 28803 28948
## [24673] 29093 29238 29383 29528 29673 29818 29963 30108 30253 30398 30543 30688
## [24685] 30833 30978 31123 31268 31413 31558 31703 31848 31993 32138 32283 32428
## [24697] 32573 32718 32863 33008 33153 33298 33443 33588 33733 33878 34023 34168
## [24709] 34313 34458 34603 34748 34893 35038 35183 35328 35473 35618 35763 35908
## [24721] 36053 36198 36343 36488 36633 36778 36923 37068 37213 37358 37503 37648
## [24733] 37793 37938 38083 38228 38373 38518 94 239 384 529 674 819
## [24745] 964 1109 1254 1399 1544 1689 1834 1979 2124 2269 2414 2559
## [24757] 2704 2849 2994 3139 3284 3429 3574 3719 3864 4009 4154 4299
## [24769] 4444 4589 4734 4879 5024 5169 5314 5459 5604 5749 5894 6039
## [24781] 6184 6329 6474 6619 6764 6909 7054 7199 7344 7489 7634 7779
## [24793] 7924 8069 8214 8359 8504 8649 8794 8939 9084 9229 9374 9519
## [24805] 9664 9809 9954 10099 10244 10389 10534 10679 10824 10969 11114 11259
## [24817] 11404 11549 11694 11839 11984 12129 12274 12419 12564 12709 12854 12999
## [24829] 13144 13289 13434 13579 13724 13869 14014 14159 14304 14449 14594 14739
## [24841] 14884 15029 15174 15319 15464 15609 15754 15899 16044 16189 16334 16479
## [24853] 16624 16769 16914 17059 17204 17349 17494 17639 17784 17929 18074 18219
## [24865] 18364 18509 18654 18799 18944 19089 19234 19379 19524 19669 19814 19959
## [24877] 20104 20249 20394 20539 20684 20829 20974 21119 21264 21409 21554 21699
## [24889] 21844 21989 22134 22279 22424 22569 22714 22859 23004 23149 23294 23439
## [24901] 23584 23729 23874 24019 24164 24309 24454 24599 24744 24889 25034 25179
## [24913] 25324 25469 25614 25759 25904 26049 26194 26339 26484 26629 26774 26919
## [24925] 27064 27209 27354 27499 27644 27789 27934 28079 28224 28369 28514 28659
## [24937] 28804 28949 29094 29239 29384 29529 29674 29819 29964 30109 30254 30399
## [24949] 30544 30689 30834 30979 31124 31269 31414 31559 31704 31849 31994 32139
## [24961] 32284 32429 32574 32719 32864 33009 33154 33299 33444 33589 33734 33879
## [24973] 34024 34169 34314 34459 34604 34749 34894 35039 35184 35329 35474 35619
## [24985] 35764 35909 36054 36199 36344 36489 36634 36779 36924 37069 37214 37359
## [24997] 37504 37649 37794 37939 38084 38229 38374 38519 95 240 385 530
## [25009] 675 820 965 1110 1255 1400 1545 1690 1835 1980 2125 2270
## [25021] 2415 2560 2705 2850 2995 3140 3285 3430 3575 3720 3865 4010
## [25033] 4155 4300 4445 4590 4735 4880 5025 5170 5315 5460 5605 5750
## [25045] 5895 6040 6185 6330 6475 6620 6765 6910 7055 7200 7345 7490
## [25057] 7635 7780 7925 8070 8215 8360 8505 8650 8795 8940 9085 9230
## [25069] 9375 9520 9665 9810 9955 10100 10245 10390 10535 10680 10825 10970
## [25081] 11115 11260 11405 11550 11695 11840 11985 12130 12275 12420 12565 12710
## [25093] 12855 13000 13145 13290 13435 13580 13725 13870 14015 14160 14305 14450
## [25105] 14595 14740 14885 15030 15175 15320 15465 15610 15755 15900 16045 16190
## [25117] 16335 16480 16625 16770 16915 17060 17205 17350 17495 17640 17785 17930
## [25129] 18075 18220 18365 18510 18655 18800 18945 19090 19235 19380 19525 19670
## [25141] 19815 19960 20105 20250 20395 20540 20685 20830 20975 21120 21265 21410
## [25153] 21555 21700 21845 21990 22135 22280 22425 22570 22715 22860 23005 23150
## [25165] 23295 23440 23585 23730 23875 24020 24165 24310 24455 24600 24745 24890
## [25177] 25035 25180 25325 25470 25615 25760 25905 26050 26195 26340 26485 26630
## [25189] 26775 26920 27065 27210 27355 27500 27645 27790 27935 28080 28225 28370
## [25201] 28515 28660 28805 28950 29095 29240 29385 29530 29675 29820 29965 30110
## [25213] 30255 30400 30545 30690 30835 30980 31125 31270 31415 31560 31705 31850
## [25225] 31995 32140 32285 32430 32575 32720 32865 33010 33155 33300 33445 33590
## [25237] 33735 33880 34025 34170 34315 34460 34605 34750 34895 35040 35185 35330
## [25249] 35475 35620 35765 35910 36055 36200 36345 36490 36635 36780 36925 37070
## [25261] 37215 37360 37505 37650 37795 37940 38085 38230 38375 38520 96 241
## [25273] 386 531 676 821 966 1111 1256 1401 1546 1691 1836 1981
## [25285] 2126 2271 2416 2561 2706 2851 2996 3141 3286 3431 3576 3721
## [25297] 3866 4011 4156 4301 4446 4591 4736 4881 5026 5171 5316 5461
## [25309] 5606 5751 5896 6041 6186 6331 6476 6621 6766 6911 7056 7201
## [25321] 7346 7491 7636 7781 7926 8071 8216 8361 8506 8651 8796 8941
## [25333] 9086 9231 9376 9521 9666 9811 9956 10101 10246 10391 10536 10681
## [25345] 10826 10971 11116 11261 11406 11551 11696 11841 11986 12131 12276 12421
## [25357] 12566 12711 12856 13001 13146 13291 13436 13581 13726 13871 14016 14161
## [25369] 14306 14451 14596 14741 14886 15031 15176 15321 15466 15611 15756 15901
## [25381] 16046 16191 16336 16481 16626 16771 16916 17061 17206 17351 17496 17641
## [25393] 17786 17931 18076 18221 18366 18511 18656 18801 18946 19091 19236 19381
## [25405] 19526 19671 19816 19961 20106 20251 20396 20541 20686 20831 20976 21121
## [25417] 21266 21411 21556 21701 21846 21991 22136 22281 22426 22571 22716 22861
## [25429] 23006 23151 23296 23441 23586 23731 23876 24021 24166 24311 24456 24601
## [25441] 24746 24891 25036 25181 25326 25471 25616 25761 25906 26051 26196 26341
## [25453] 26486 26631 26776 26921 27066 27211 27356 27501 27646 27791 27936 28081
## [25465] 28226 28371 28516 28661 28806 28951 29096 29241 29386 29531 29676 29821
## [25477] 29966 30111 30256 30401 30546 30691 30836 30981 31126 31271 31416 31561
## [25489] 31706 31851 31996 32141 32286 32431 32576 32721 32866 33011 33156 33301
## [25501] 33446 33591 33736 33881 34026 34171 34316 34461 34606 34751 34896 35041
## [25513] 35186 35331 35476 35621 35766 35911 36056 36201 36346 36491 36636 36781
## [25525] 36926 37071 37216 37361 37506 37651 37796 37941 38086 38231 38376 38521
## [25537] 97 242 387 532 677 822 967 1112 1257 1402 1547 1692
## [25549] 1837 1982 2127 2272 2417 2562 2707 2852 2997 3142 3287 3432
## [25561] 3577 3722 3867 4012 4157 4302 4447 4592 4737 4882 5027 5172
## [25573] 5317 5462 5607 5752 5897 6042 6187 6332 6477 6622 6767 6912
## [25585] 7057 7202 7347 7492 7637 7782 7927 8072 8217 8362 8507 8652
## [25597] 8797 8942 9087 9232 9377 9522 9667 9812 9957 10102 10247 10392
## [25609] 10537 10682 10827 10972 11117 11262 11407 11552 11697 11842 11987 12132
## [25621] 12277 12422 12567 12712 12857 13002 13147 13292 13437 13582 13727 13872
## [25633] 14017 14162 14307 14452 14597 14742 14887 15032 15177 15322 15467 15612
## [25645] 15757 15902 16047 16192 16337 16482 16627 16772 16917 17062 17207 17352
## [25657] 17497 17642 17787 17932 18077 18222 18367 18512 18657 18802 18947 19092
## [25669] 19237 19382 19527 19672 19817 19962 20107 20252 20397 20542 20687 20832
## [25681] 20977 21122 21267 21412 21557 21702 21847 21992 22137 22282 22427 22572
## [25693] 22717 22862 23007 23152 23297 23442 23587 23732 23877 24022 24167 24312
## [25705] 24457 24602 24747 24892 25037 25182 25327 25472 25617 25762 25907 26052
## [25717] 26197 26342 26487 26632 26777 26922 27067 27212 27357 27502 27647 27792
## [25729] 27937 28082 28227 28372 28517 28662 28807 28952 29097 29242 29387 29532
## [25741] 29677 29822 29967 30112 30257 30402 30547 30692 30837 30982 31127 31272
## [25753] 31417 31562 31707 31852 31997 32142 32287 32432 32577 32722 32867 33012
## [25765] 33157 33302 33447 33592 33737 33882 34027 34172 34317 34462 34607 34752
## [25777] 34897 35042 35187 35332 35477 35622 35767 35912 36057 36202 36347 36492
## [25789] 36637 36782 36927 37072 37217 37362 37507 37652 37797 37942 38087 38232
## [25801] 38377 38522 98 243 388 533 678 823 968 1113 1258 1403
## [25813] 1548 1693 1838 1983 2128 2273 2418 2563 2708 2853 2998 3143
## [25825] 3288 3433 3578 3723 3868 4013 4158 4303 4448 4593 4738 4883
## [25837] 5028 5173 5318 5463 5608 5753 5898 6043 6188 6333 6478 6623
## [25849] 6768 6913 7058 7203 7348 7493 7638 7783 7928 8073 8218 8363
## [25861] 8508 8653 8798 8943 9088 9233 9378 9523 9668 9813 9958 10103
## [25873] 10248 10393 10538 10683 10828 10973 11118 11263 11408 11553 11698 11843
## [25885] 11988 12133 12278 12423 12568 12713 12858 13003 13148 13293 13438 13583
## [25897] 13728 13873 14018 14163 14308 14453 14598 14743 14888 15033 15178 15323
## [25909] 15468 15613 15758 15903 16048 16193 16338 16483 16628 16773 16918 17063
## [25921] 17208 17353 17498 17643 17788 17933 18078 18223 18368 18513 18658 18803
## [25933] 18948 19093 19238 19383 19528 19673 19818 19963 20108 20253 20398 20543
## [25945] 20688 20833 20978 21123 21268 21413 21558 21703 21848 21993 22138 22283
## [25957] 22428 22573 22718 22863 23008 23153 23298 23443 23588 23733 23878 24023
## [25969] 24168 24313 24458 24603 24748 24893 25038 25183 25328 25473 25618 25763
## [25981] 25908 26053 26198 26343 26488 26633 26778 26923 27068 27213 27358 27503
## [25993] 27648 27793 27938 28083 28228 28373 28518 28663 28808 28953 29098 29243
## [26005] 29388 29533 29678 29823 29968 30113 30258 30403 30548 30693 30838 30983
## [26017] 31128 31273 31418 31563 31708 31853 31998 32143 32288 32433 32578 32723
## [26029] 32868 33013 33158 33303 33448 33593 33738 33883 34028 34173 34318 34463
## [26041] 34608 34753 34898 35043 35188 35333 35478 35623 35768 35913 36058 36203
## [26053] 36348 36493 36638 36783 36928 37073 37218 37363 37508 37653 37798 37943
## [26065] 38088 38233 38378 38523 99 244 389 534 679 824 969 1114
## [26077] 1259 1404 1549 1694 1839 1984 2129 2274 2419 2564 2709 2854
## [26089] 2999 3144 3289 3434 3579 3724 3869 4014 4159 4304 4449 4594
## [26101] 4739 4884 5029 5174 5319 5464 5609 5754 5899 6044 6189 6334
## [26113] 6479 6624 6769 6914 7059 7204 7349 7494 7639 7784 7929 8074
## [26125] 8219 8364 8509 8654 8799 8944 9089 9234 9379 9524 9669 9814
## [26137] 9959 10104 10249 10394 10539 10684 10829 10974 11119 11264 11409 11554
## [26149] 11699 11844 11989 12134 12279 12424 12569 12714 12859 13004 13149 13294
## [26161] 13439 13584 13729 13874 14019 14164 14309 14454 14599 14744 14889 15034
## [26173] 15179 15324 15469 15614 15759 15904 16049 16194 16339 16484 16629 16774
## [26185] 16919 17064 17209 17354 17499 17644 17789 17934 18079 18224 18369 18514
## [26197] 18659 18804 18949 19094 19239 19384 19529 19674 19819 19964 20109 20254
## [26209] 20399 20544 20689 20834 20979 21124 21269 21414 21559 21704 21849 21994
## [26221] 22139 22284 22429 22574 22719 22864 23009 23154 23299 23444 23589 23734
## [26233] 23879 24024 24169 24314 24459 24604 24749 24894 25039 25184 25329 25474
## [26245] 25619 25764 25909 26054 26199 26344 26489 26634 26779 26924 27069 27214
## [26257] 27359 27504 27649 27794 27939 28084 28229 28374 28519 28664 28809 28954
## [26269] 29099 29244 29389 29534 29679 29824 29969 30114 30259 30404 30549 30694
## [26281] 30839 30984 31129 31274 31419 31564 31709 31854 31999 32144 32289 32434
## [26293] 32579 32724 32869 33014 33159 33304 33449 33594 33739 33884 34029 34174
## [26305] 34319 34464 34609 34754 34899 35044 35189 35334 35479 35624 35769 35914
## [26317] 36059 36204 36349 36494 36639 36784 36929 37074 37219 37364 37509 37654
## [26329] 37799 37944 38089 38234 38379 38524 100 245 390 535 680 825
## [26341] 970 1115 1260 1405 1550 1695 1840 1985 2130 2275 2420 2565
## [26353] 2710 2855 3000 3145 3290 3435 3580 3725 3870 4015 4160 4305
## [26365] 4450 4595 4740 4885 5030 5175 5320 5465 5610 5755 5900 6045
## [26377] 6190 6335 6480 6625 6770 6915 7060 7205 7350 7495 7640 7785
## [26389] 7930 8075 8220 8365 8510 8655 8800 8945 9090 9235 9380 9525
## [26401] 9670 9815 9960 10105 10250 10395 10540 10685 10830 10975 11120 11265
## [26413] 11410 11555 11700 11845 11990 12135 12280 12425 12570 12715 12860 13005
## [26425] 13150 13295 13440 13585 13730 13875 14020 14165 14310 14455 14600 14745
## [26437] 14890 15035 15180 15325 15470 15615 15760 15905 16050 16195 16340 16485
## [26449] 16630 16775 16920 17065 17210 17355 17500 17645 17790 17935 18080 18225
## [26461] 18370 18515 18660 18805 18950 19095 19240 19385 19530 19675 19820 19965
## [26473] 20110 20255 20400 20545 20690 20835 20980 21125 21270 21415 21560 21705
## [26485] 21850 21995 22140 22285 22430 22575 22720 22865 23010 23155 23300 23445
## [26497] 23590 23735 23880 24025 24170 24315 24460 24605 24750 24895 25040 25185
## [26509] 25330 25475 25620 25765 25910 26055 26200 26345 26490 26635 26780 26925
## [26521] 27070 27215 27360 27505 27650 27795 27940 28085 28230 28375 28520 28665
## [26533] 28810 28955 29100 29245 29390 29535 29680 29825 29970 30115 30260 30405
## [26545] 30550 30695 30840 30985 31130 31275 31420 31565 31710 31855 32000 32145
## [26557] 32290 32435 32580 32725 32870 33015 33160 33305 33450 33595 33740 33885
## [26569] 34030 34175 34320 34465 34610 34755 34900 35045 35190 35335 35480 35625
## [26581] 35770 35915 36060 36205 36350 36495 36640 36785 36930 37075 37220 37365
## [26593] 37510 37655 37800 37945 38090 38235 38380 38525 101 246 391 536
## [26605] 681 826 971 1116 1261 1406 1551 1696 1841 1986 2131 2276
## [26617] 2421 2566 2711 2856 3001 3146 3291 3436 3581 3726 3871 4016
## [26629] 4161 4306 4451 4596 4741 4886 5031 5176 5321 5466 5611 5756
## [26641] 5901 6046 6191 6336 6481 6626 6771 6916 7061 7206 7351 7496
## [26653] 7641 7786 7931 8076 8221 8366 8511 8656 8801 8946 9091 9236
## [26665] 9381 9526 9671 9816 9961 10106 10251 10396 10541 10686 10831 10976
## [26677] 11121 11266 11411 11556 11701 11846 11991 12136 12281 12426 12571 12716
## [26689] 12861 13006 13151 13296 13441 13586 13731 13876 14021 14166 14311 14456
## [26701] 14601 14746 14891 15036 15181 15326 15471 15616 15761 15906 16051 16196
## [26713] 16341 16486 16631 16776 16921 17066 17211 17356 17501 17646 17791 17936
## [26725] 18081 18226 18371 18516 18661 18806 18951 19096 19241 19386 19531 19676
## [26737] 19821 19966 20111 20256 20401 20546 20691 20836 20981 21126 21271 21416
## [26749] 21561 21706 21851 21996 22141 22286 22431 22576 22721 22866 23011 23156
## [26761] 23301 23446 23591 23736 23881 24026 24171 24316 24461 24606 24751 24896
## [26773] 25041 25186 25331 25476 25621 25766 25911 26056 26201 26346 26491 26636
## [26785] 26781 26926 27071 27216 27361 27506 27651 27796 27941 28086 28231 28376
## [26797] 28521 28666 28811 28956 29101 29246 29391 29536 29681 29826 29971 30116
## [26809] 30261 30406 30551 30696 30841 30986 31131 31276 31421 31566 31711 31856
## [26821] 32001 32146 32291 32436 32581 32726 32871 33016 33161 33306 33451 33596
## [26833] 33741 33886 34031 34176 34321 34466 34611 34756 34901 35046 35191 35336
## [26845] 35481 35626 35771 35916 36061 36206 36351 36496 36641 36786 36931 37076
## [26857] 37221 37366 37511 37656 37801 37946 38091 38236 38381 38526 102 247
## [26869] 392 537 682 827 972 1117 1262 1407 1552 1697 1842 1987
## [26881] 2132 2277 2422 2567 2712 2857 3002 3147 3292 3437 3582 3727
## [26893] 3872 4017 4162 4307 4452 4597 4742 4887 5032 5177 5322 5467
## [26905] 5612 5757 5902 6047 6192 6337 6482 6627 6772 6917 7062 7207
## [26917] 7352 7497 7642 7787 7932 8077 8222 8367 8512 8657 8802 8947
## [26929] 9092 9237 9382 9527 9672 9817 9962 10107 10252 10397 10542 10687
## [26941] 10832 10977 11122 11267 11412 11557 11702 11847 11992 12137 12282 12427
## [26953] 12572 12717 12862 13007 13152 13297 13442 13587 13732 13877 14022 14167
## [26965] 14312 14457 14602 14747 14892 15037 15182 15327 15472 15617 15762 15907
## [26977] 16052 16197 16342 16487 16632 16777 16922 17067 17212 17357 17502 17647
## [26989] 17792 17937 18082 18227 18372 18517 18662 18807 18952 19097 19242 19387
## [27001] 19532 19677 19822 19967 20112 20257 20402 20547 20692 20837 20982 21127
## [27013] 21272 21417 21562 21707 21852 21997 22142 22287 22432 22577 22722 22867
## [27025] 23012 23157 23302 23447 23592 23737 23882 24027 24172 24317 24462 24607
## [27037] 24752 24897 25042 25187 25332 25477 25622 25767 25912 26057 26202 26347
## [27049] 26492 26637 26782 26927 27072 27217 27362 27507 27652 27797 27942 28087
## [27061] 28232 28377 28522 28667 28812 28957 29102 29247 29392 29537 29682 29827
## [27073] 29972 30117 30262 30407 30552 30697 30842 30987 31132 31277 31422 31567
## [27085] 31712 31857 32002 32147 32292 32437 32582 32727 32872 33017 33162 33307
## [27097] 33452 33597 33742 33887 34032 34177 34322 34467 34612 34757 34902 35047
## [27109] 35192 35337 35482 35627 35772 35917 36062 36207 36352 36497 36642 36787
## [27121] 36932 37077 37222 37367 37512 37657 37802 37947 38092 38237 38382 38527
## [27133] 103 248 393 538 683 828 973 1118 1263 1408 1553 1698
## [27145] 1843 1988 2133 2278 2423 2568 2713 2858 3003 3148 3293 3438
## [27157] 3583 3728 3873 4018 4163 4308 4453 4598 4743 4888 5033 5178
## [27169] 5323 5468 5613 5758 5903 6048 6193 6338 6483 6628 6773 6918
## [27181] 7063 7208 7353 7498 7643 7788 7933 8078 8223 8368 8513 8658
## [27193] 8803 8948 9093 9238 9383 9528 9673 9818 9963 10108 10253 10398
## [27205] 10543 10688 10833 10978 11123 11268 11413 11558 11703 11848 11993 12138
## [27217] 12283 12428 12573 12718 12863 13008 13153 13298 13443 13588 13733 13878
## [27229] 14023 14168 14313 14458 14603 14748 14893 15038 15183 15328 15473 15618
## [27241] 15763 15908 16053 16198 16343 16488 16633 16778 16923 17068 17213 17358
## [27253] 17503 17648 17793 17938 18083 18228 18373 18518 18663 18808 18953 19098
## [27265] 19243 19388 19533 19678 19823 19968 20113 20258 20403 20548 20693 20838
## [27277] 20983 21128 21273 21418 21563 21708 21853 21998 22143 22288 22433 22578
## [27289] 22723 22868 23013 23158 23303 23448 23593 23738 23883 24028 24173 24318
## [27301] 24463 24608 24753 24898 25043 25188 25333 25478 25623 25768 25913 26058
## [27313] 26203 26348 26493 26638 26783 26928 27073 27218 27363 27508 27653 27798
## [27325] 27943 28088 28233 28378 28523 28668 28813 28958 29103 29248 29393 29538
## [27337] 29683 29828 29973 30118 30263 30408 30553 30698 30843 30988 31133 31278
## [27349] 31423 31568 31713 31858 32003 32148 32293 32438 32583 32728 32873 33018
## [27361] 33163 33308 33453 33598 33743 33888 34033 34178 34323 34468 34613 34758
## [27373] 34903 35048 35193 35338 35483 35628 35773 35918 36063 36208 36353 36498
## [27385] 36643 36788 36933 37078 37223 37368 37513 37658 37803 37948 38093 38238
## [27397] 38383 38528 104 249 394 539 684 829 974 1119 1264 1409
## [27409] 1554 1699 1844 1989 2134 2279 2424 2569 2714 2859 3004 3149
## [27421] 3294 3439 3584 3729 3874 4019 4164 4309 4454 4599 4744 4889
## [27433] 5034 5179 5324 5469 5614 5759 5904 6049 6194 6339 6484 6629
## [27445] 6774 6919 7064 7209 7354 7499 7644 7789 7934 8079 8224 8369
## [27457] 8514 8659 8804 8949 9094 9239 9384 9529 9674 9819 9964 10109
## [27469] 10254 10399 10544 10689 10834 10979 11124 11269 11414 11559 11704 11849
## [27481] 11994 12139 12284 12429 12574 12719 12864 13009 13154 13299 13444 13589
## [27493] 13734 13879 14024 14169 14314 14459 14604 14749 14894 15039 15184 15329
## [27505] 15474 15619 15764 15909 16054 16199 16344 16489 16634 16779 16924 17069
## [27517] 17214 17359 17504 17649 17794 17939 18084 18229 18374 18519 18664 18809
## [27529] 18954 19099 19244 19389 19534 19679 19824 19969 20114 20259 20404 20549
## [27541] 20694 20839 20984 21129 21274 21419 21564 21709 21854 21999 22144 22289
## [27553] 22434 22579 22724 22869 23014 23159 23304 23449 23594 23739 23884 24029
## [27565] 24174 24319 24464 24609 24754 24899 25044 25189 25334 25479 25624 25769
## [27577] 25914 26059 26204 26349 26494 26639 26784 26929 27074 27219 27364 27509
## [27589] 27654 27799 27944 28089 28234 28379 28524 28669 28814 28959 29104 29249
## [27601] 29394 29539 29684 29829 29974 30119 30264 30409 30554 30699 30844 30989
## [27613] 31134 31279 31424 31569 31714 31859 32004 32149 32294 32439 32584 32729
## [27625] 32874 33019 33164 33309 33454 33599 33744 33889 34034 34179 34324 34469
## [27637] 34614 34759 34904 35049 35194 35339 35484 35629 35774 35919 36064 36209
## [27649] 36354 36499 36644 36789 36934 37079 37224 37369 37514 37659 37804 37949
## [27661] 38094 38239 38384 38529 105 250 395 540 685 830 975 1120
## [27673] 1265 1410 1555 1700 1845 1990 2135 2280 2425 2570 2715 2860
## [27685] 3005 3150 3295 3440 3585 3730 3875 4020 4165 4310 4455 4600
## [27697] 4745 4890 5035 5180 5325 5470 5615 5760 5905 6050 6195 6340
## [27709] 6485 6630 6775 6920 7065 7210 7355 7500 7645 7790 7935 8080
## [27721] 8225 8370 8515 8660 8805 8950 9095 9240 9385 9530 9675 9820
## [27733] 9965 10110 10255 10400 10545 10690 10835 10980 11125 11270 11415 11560
## [27745] 11705 11850 11995 12140 12285 12430 12575 12720 12865 13010 13155 13300
## [27757] 13445 13590 13735 13880 14025 14170 14315 14460 14605 14750 14895 15040
## [27769] 15185 15330 15475 15620 15765 15910 16055 16200 16345 16490 16635 16780
## [27781] 16925 17070 17215 17360 17505 17650 17795 17940 18085 18230 18375 18520
## [27793] 18665 18810 18955 19100 19245 19390 19535 19680 19825 19970 20115 20260
## [27805] 20405 20550 20695 20840 20985 21130 21275 21420 21565 21710 21855 22000
## [27817] 22145 22290 22435 22580 22725 22870 23015 23160 23305 23450 23595 23740
## [27829] 23885 24030 24175 24320 24465 24610 24755 24900 25045 25190 25335 25480
## [27841] 25625 25770 25915 26060 26205 26350 26495 26640 26785 26930 27075 27220
## [27853] 27365 27510 27655 27800 27945 28090 28235 28380 28525 28670 28815 28960
## [27865] 29105 29250 29395 29540 29685 29830 29975 30120 30265 30410 30555 30700
## [27877] 30845 30990 31135 31280 31425 31570 31715 31860 32005 32150 32295 32440
## [27889] 32585 32730 32875 33020 33165 33310 33455 33600 33745 33890 34035 34180
## [27901] 34325 34470 34615 34760 34905 35050 35195 35340 35485 35630 35775 35920
## [27913] 36065 36210 36355 36500 36645 36790 36935 37080 37225 37370 37515 37660
## [27925] 37805 37950 38095 38240 38385 38530 106 251 396 541 686 831
## [27937] 976 1121 1266 1411 1556 1701 1846 1991 2136 2281 2426 2571
## [27949] 2716 2861 3006 3151 3296 3441 3586 3731 3876 4021 4166 4311
## [27961] 4456 4601 4746 4891 5036 5181 5326 5471 5616 5761 5906 6051
## [27973] 6196 6341 6486 6631 6776 6921 7066 7211 7356 7501 7646 7791
## [27985] 7936 8081 8226 8371 8516 8661 8806 8951 9096 9241 9386 9531
## [27997] 9676 9821 9966 10111 10256 10401 10546 10691 10836 10981 11126 11271
## [28009] 11416 11561 11706 11851 11996 12141 12286 12431 12576 12721 12866 13011
## [28021] 13156 13301 13446 13591 13736 13881 14026 14171 14316 14461 14606 14751
## [28033] 14896 15041 15186 15331 15476 15621 15766 15911 16056 16201 16346 16491
## [28045] 16636 16781 16926 17071 17216 17361 17506 17651 17796 17941 18086 18231
## [28057] 18376 18521 18666 18811 18956 19101 19246 19391 19536 19681 19826 19971
## [28069] 20116 20261 20406 20551 20696 20841 20986 21131 21276 21421 21566 21711
## [28081] 21856 22001 22146 22291 22436 22581 22726 22871 23016 23161 23306 23451
## [28093] 23596 23741 23886 24031 24176 24321 24466 24611 24756 24901 25046 25191
## [28105] 25336 25481 25626 25771 25916 26061 26206 26351 26496 26641 26786 26931
## [28117] 27076 27221 27366 27511 27656 27801 27946 28091 28236 28381 28526 28671
## [28129] 28816 28961 29106 29251 29396 29541 29686 29831 29976 30121 30266 30411
## [28141] 30556 30701 30846 30991 31136 31281 31426 31571 31716 31861 32006 32151
## [28153] 32296 32441 32586 32731 32876 33021 33166 33311 33456 33601 33746 33891
## [28165] 34036 34181 34326 34471 34616 34761 34906 35051 35196 35341 35486 35631
## [28177] 35776 35921 36066 36211 36356 36501 36646 36791 36936 37081 37226 37371
## [28189] 37516 37661 37806 37951 38096 38241 38386 38531 107 252 397 542
## [28201] 687 832 977 1122 1267 1412 1557 1702 1847 1992 2137 2282
## [28213] 2427 2572 2717 2862 3007 3152 3297 3442 3587 3732 3877 4022
## [28225] 4167 4312 4457 4602 4747 4892 5037 5182 5327 5472 5617 5762
## [28237] 5907 6052 6197 6342 6487 6632 6777 6922 7067 7212 7357 7502
## [28249] 7647 7792 7937 8082 8227 8372 8517 8662 8807 8952 9097 9242
## [28261] 9387 9532 9677 9822 9967 10112 10257 10402 10547 10692 10837 10982
## [28273] 11127 11272 11417 11562 11707 11852 11997 12142 12287 12432 12577 12722
## [28285] 12867 13012 13157 13302 13447 13592 13737 13882 14027 14172 14317 14462
## [28297] 14607 14752 14897 15042 15187 15332 15477 15622 15767 15912 16057 16202
## [28309] 16347 16492 16637 16782 16927 17072 17217 17362 17507 17652 17797 17942
## [28321] 18087 18232 18377 18522 18667 18812 18957 19102 19247 19392 19537 19682
## [28333] 19827 19972 20117 20262 20407 20552 20697 20842 20987 21132 21277 21422
## [28345] 21567 21712 21857 22002 22147 22292 22437 22582 22727 22872 23017 23162
## [28357] 23307 23452 23597 23742 23887 24032 24177 24322 24467 24612 24757 24902
## [28369] 25047 25192 25337 25482 25627 25772 25917 26062 26207 26352 26497 26642
## [28381] 26787 26932 27077 27222 27367 27512 27657 27802 27947 28092 28237 28382
## [28393] 28527 28672 28817 28962 29107 29252 29397 29542 29687 29832 29977 30122
## [28405] 30267 30412 30557 30702 30847 30992 31137 31282 31427 31572 31717 31862
## [28417] 32007 32152 32297 32442 32587 32732 32877 33022 33167 33312 33457 33602
## [28429] 33747 33892 34037 34182 34327 34472 34617 34762 34907 35052 35197 35342
## [28441] 35487 35632 35777 35922 36067 36212 36357 36502 36647 36792 36937 37082
## [28453] 37227 37372 37517 37662 37807 37952 38097 38242 38387 38532 108 253
## [28465] 398 543 688 833 978 1123 1268 1413 1558 1703 1848 1993
## [28477] 2138 2283 2428 2573 2718 2863 3008 3153 3298 3443 3588 3733
## [28489] 3878 4023 4168 4313 4458 4603 4748 4893 5038 5183 5328 5473
## [28501] 5618 5763 5908 6053 6198 6343 6488 6633 6778 6923 7068 7213
## [28513] 7358 7503 7648 7793 7938 8083 8228 8373 8518 8663 8808 8953
## [28525] 9098 9243 9388 9533 9678 9823 9968 10113 10258 10403 10548 10693
## [28537] 10838 10983 11128 11273 11418 11563 11708 11853 11998 12143 12288 12433
## [28549] 12578 12723 12868 13013 13158 13303 13448 13593 13738 13883 14028 14173
## [28561] 14318 14463 14608 14753 14898 15043 15188 15333 15478 15623 15768 15913
## [28573] 16058 16203 16348 16493 16638 16783 16928 17073 17218 17363 17508 17653
## [28585] 17798 17943 18088 18233 18378 18523 18668 18813 18958 19103 19248 19393
## [28597] 19538 19683 19828 19973 20118 20263 20408 20553 20698 20843 20988 21133
## [28609] 21278 21423 21568 21713 21858 22003 22148 22293 22438 22583 22728 22873
## [28621] 23018 23163 23308 23453 23598 23743 23888 24033 24178 24323 24468 24613
## [28633] 24758 24903 25048 25193 25338 25483 25628 25773 25918 26063 26208 26353
## [28645] 26498 26643 26788 26933 27078 27223 27368 27513 27658 27803 27948 28093
## [28657] 28238 28383 28528 28673 28818 28963 29108 29253 29398 29543 29688 29833
## [28669] 29978 30123 30268 30413 30558 30703 30848 30993 31138 31283 31428 31573
## [28681] 31718 31863 32008 32153 32298 32443 32588 32733 32878 33023 33168 33313
## [28693] 33458 33603 33748 33893 34038 34183 34328 34473 34618 34763 34908 35053
## [28705] 35198 35343 35488 35633 35778 35923 36068 36213 36358 36503 36648 36793
## [28717] 36938 37083 37228 37373 37518 37663 37808 37953 38098 38243 38388 38533
## [28729] 109 254 399 544 689 834 979 1124 1269 1414 1559 1704
## [28741] 1849 1994 2139 2284 2429 2574 2719 2864 3009 3154 3299 3444
## [28753] 3589 3734 3879 4024 4169 4314 4459 4604 4749 4894 5039 5184
## [28765] 5329 5474 5619 5764 5909 6054 6199 6344 6489 6634 6779 6924
## [28777] 7069 7214 7359 7504 7649 7794 7939 8084 8229 8374 8519 8664
## [28789] 8809 8954 9099 9244 9389 9534 9679 9824 9969 10114 10259 10404
## [28801] 10549 10694 10839 10984 11129 11274 11419 11564 11709 11854 11999 12144
## [28813] 12289 12434 12579 12724 12869 13014 13159 13304 13449 13594 13739 13884
## [28825] 14029 14174 14319 14464 14609 14754 14899 15044 15189 15334 15479 15624
## [28837] 15769 15914 16059 16204 16349 16494 16639 16784 16929 17074 17219 17364
## [28849] 17509 17654 17799 17944 18089 18234 18379 18524 18669 18814 18959 19104
## [28861] 19249 19394 19539 19684 19829 19974 20119 20264 20409 20554 20699 20844
## [28873] 20989 21134 21279 21424 21569 21714 21859 22004 22149 22294 22439 22584
## [28885] 22729 22874 23019 23164 23309 23454 23599 23744 23889 24034 24179 24324
## [28897] 24469 24614 24759 24904 25049 25194 25339 25484 25629 25774 25919 26064
## [28909] 26209 26354 26499 26644 26789 26934 27079 27224 27369 27514 27659 27804
## [28921] 27949 28094 28239 28384 28529 28674 28819 28964 29109 29254 29399 29544
## [28933] 29689 29834 29979 30124 30269 30414 30559 30704 30849 30994 31139 31284
## [28945] 31429 31574 31719 31864 32009 32154 32299 32444 32589 32734 32879 33024
## [28957] 33169 33314 33459 33604 33749 33894 34039 34184 34329 34474 34619 34764
## [28969] 34909 35054 35199 35344 35489 35634 35779 35924 36069 36214 36359 36504
## [28981] 36649 36794 36939 37084 37229 37374 37519 37664 37809 37954 38099 38244
## [28993] 38389 38534 110 255 400 545 690 835 980 1125 1270 1415
## [29005] 1560 1705 1850 1995 2140 2285 2430 2575 2720 2865 3010 3155
## [29017] 3300 3445 3590 3735 3880 4025 4170 4315 4460 4605 4750 4895
## [29029] 5040 5185 5330 5475 5620 5765 5910 6055 6200 6345 6490 6635
## [29041] 6780 6925 7070 7215 7360 7505 7650 7795 7940 8085 8230 8375
## [29053] 8520 8665 8810 8955 9100 9245 9390 9535 9680 9825 9970 10115
## [29065] 10260 10405 10550 10695 10840 10985 11130 11275 11420 11565 11710 11855
## [29077] 12000 12145 12290 12435 12580 12725 12870 13015 13160 13305 13450 13595
## [29089] 13740 13885 14030 14175 14320 14465 14610 14755 14900 15045 15190 15335
## [29101] 15480 15625 15770 15915 16060 16205 16350 16495 16640 16785 16930 17075
## [29113] 17220 17365 17510 17655 17800 17945 18090 18235 18380 18525 18670 18815
## [29125] 18960 19105 19250 19395 19540 19685 19830 19975 20120 20265 20410 20555
## [29137] 20700 20845 20990 21135 21280 21425 21570 21715 21860 22005 22150 22295
## [29149] 22440 22585 22730 22875 23020 23165 23310 23455 23600 23745 23890 24035
## [29161] 24180 24325 24470 24615 24760 24905 25050 25195 25340 25485 25630 25775
## [29173] 25920 26065 26210 26355 26500 26645 26790 26935 27080 27225 27370 27515
## [29185] 27660 27805 27950 28095 28240 28385 28530 28675 28820 28965 29110 29255
## [29197] 29400 29545 29690 29835 29980 30125 30270 30415 30560 30705 30850 30995
## [29209] 31140 31285 31430 31575 31720 31865 32010 32155 32300 32445 32590 32735
## [29221] 32880 33025 33170 33315 33460 33605 33750 33895 34040 34185 34330 34475
## [29233] 34620 34765 34910 35055 35200 35345 35490 35635 35780 35925 36070 36215
## [29245] 36360 36505 36650 36795 36940 37085 37230 37375 37520 37665 37810 37955
## [29257] 38100 38245 38390 38535 111 256 401 546 691 836 981 1126
## [29269] 1271 1416 1561 1706 1851 1996 2141 2286 2431 2576 2721 2866
## [29281] 3011 3156 3301 3446 3591 3736 3881 4026 4171 4316 4461 4606
## [29293] 4751 4896 5041 5186 5331 5476 5621 5766 5911 6056 6201 6346
## [29305] 6491 6636 6781 6926 7071 7216 7361 7506 7651 7796 7941 8086
## [29317] 8231 8376 8521 8666 8811 8956 9101 9246 9391 9536 9681 9826
## [29329] 9971 10116 10261 10406 10551 10696 10841 10986 11131 11276 11421 11566
## [29341] 11711 11856 12001 12146 12291 12436 12581 12726 12871 13016 13161 13306
## [29353] 13451 13596 13741 13886 14031 14176 14321 14466 14611 14756 14901 15046
## [29365] 15191 15336 15481 15626 15771 15916 16061 16206 16351 16496 16641 16786
## [29377] 16931 17076 17221 17366 17511 17656 17801 17946 18091 18236 18381 18526
## [29389] 18671 18816 18961 19106 19251 19396 19541 19686 19831 19976 20121 20266
## [29401] 20411 20556 20701 20846 20991 21136 21281 21426 21571 21716 21861 22006
## [29413] 22151 22296 22441 22586 22731 22876 23021 23166 23311 23456 23601 23746
## [29425] 23891 24036 24181 24326 24471 24616 24761 24906 25051 25196 25341 25486
## [29437] 25631 25776 25921 26066 26211 26356 26501 26646 26791 26936 27081 27226
## [29449] 27371 27516 27661 27806 27951 28096 28241 28386 28531 28676 28821 28966
## [29461] 29111 29256 29401 29546 29691 29836 29981 30126 30271 30416 30561 30706
## [29473] 30851 30996 31141 31286 31431 31576 31721 31866 32011 32156 32301 32446
## [29485] 32591 32736 32881 33026 33171 33316 33461 33606 33751 33896 34041 34186
## [29497] 34331 34476 34621 34766 34911 35056 35201 35346 35491 35636 35781 35926
## [29509] 36071 36216 36361 36506 36651 36796 36941 37086 37231 37376 37521 37666
## [29521] 37811 37956 38101 38246 38391 38536 112 257 402 547 692 837
## [29533] 982 1127 1272 1417 1562 1707 1852 1997 2142 2287 2432 2577
## [29545] 2722 2867 3012 3157 3302 3447 3592 3737 3882 4027 4172 4317
## [29557] 4462 4607 4752 4897 5042 5187 5332 5477 5622 5767 5912 6057
## [29569] 6202 6347 6492 6637 6782 6927 7072 7217 7362 7507 7652 7797
## [29581] 7942 8087 8232 8377 8522 8667 8812 8957 9102 9247 9392 9537
## [29593] 9682 9827 9972 10117 10262 10407 10552 10697 10842 10987 11132 11277
## [29605] 11422 11567 11712 11857 12002 12147 12292 12437 12582 12727 12872 13017
## [29617] 13162 13307 13452 13597 13742 13887 14032 14177 14322 14467 14612 14757
## [29629] 14902 15047 15192 15337 15482 15627 15772 15917 16062 16207 16352 16497
## [29641] 16642 16787 16932 17077 17222 17367 17512 17657 17802 17947 18092 18237
## [29653] 18382 18527 18672 18817 18962 19107 19252 19397 19542 19687 19832 19977
## [29665] 20122 20267 20412 20557 20702 20847 20992 21137 21282 21427 21572 21717
## [29677] 21862 22007 22152 22297 22442 22587 22732 22877 23022 23167 23312 23457
## [29689] 23602 23747 23892 24037 24182 24327 24472 24617 24762 24907 25052 25197
## [29701] 25342 25487 25632 25777 25922 26067 26212 26357 26502 26647 26792 26937
## [29713] 27082 27227 27372 27517 27662 27807 27952 28097 28242 28387 28532 28677
## [29725] 28822 28967 29112 29257 29402 29547 29692 29837 29982 30127 30272 30417
## [29737] 30562 30707 30852 30997 31142 31287 31432 31577 31722 31867 32012 32157
## [29749] 32302 32447 32592 32737 32882 33027 33172 33317 33462 33607 33752 33897
## [29761] 34042 34187 34332 34477 34622 34767 34912 35057 35202 35347 35492 35637
## [29773] 35782 35927 36072 36217 36362 36507 36652 36797 36942 37087 37232 37377
## [29785] 37522 37667 37812 37957 38102 38247 38392 38537 113 258 403 548
## [29797] 693 838 983 1128 1273 1418 1563 1708 1853 1998 2143 2288
## [29809] 2433 2578 2723 2868 3013 3158 3303 3448 3593 3738 3883 4028
## [29821] 4173 4318 4463 4608 4753 4898 5043 5188 5333 5478 5623 5768
## [29833] 5913 6058 6203 6348 6493 6638 6783 6928 7073 7218 7363 7508
## [29845] 7653 7798 7943 8088 8233 8378 8523 8668 8813 8958 9103 9248
## [29857] 9393 9538 9683 9828 9973 10118 10263 10408 10553 10698 10843 10988
## [29869] 11133 11278 11423 11568 11713 11858 12003 12148 12293 12438 12583 12728
## [29881] 12873 13018 13163 13308 13453 13598 13743 13888 14033 14178 14323 14468
## [29893] 14613 14758 14903 15048 15193 15338 15483 15628 15773 15918 16063 16208
## [29905] 16353 16498 16643 16788 16933 17078 17223 17368 17513 17658 17803 17948
## [29917] 18093 18238 18383 18528 18673 18818 18963 19108 19253 19398 19543 19688
## [29929] 19833 19978 20123 20268 20413 20558 20703 20848 20993 21138 21283 21428
## [29941] 21573 21718 21863 22008 22153 22298 22443 22588 22733 22878 23023 23168
## [29953] 23313 23458 23603 23748 23893 24038 24183 24328 24473 24618 24763 24908
## [29965] 25053 25198 25343 25488 25633 25778 25923 26068 26213 26358 26503 26648
## [29977] 26793 26938 27083 27228 27373 27518 27663 27808 27953 28098 28243 28388
## [29989] 28533 28678 28823 28968 29113 29258 29403 29548 29693 29838 29983 30128
## [30001] 30273 30418 30563 30708 30853 30998 31143 31288 31433 31578 31723 31868
## [30013] 32013 32158 32303 32448 32593 32738 32883 33028 33173 33318 33463 33608
## [30025] 33753 33898 34043 34188 34333 34478 34623 34768 34913 35058 35203 35348
## [30037] 35493 35638 35783 35928 36073 36218 36363 36508 36653 36798 36943 37088
## [30049] 37233 37378 37523 37668 37813 37958 38103 38248 38393 38538 114 259
## [30061] 404 549 694 839 984 1129 1274 1419 1564 1709 1854 1999
## [30073] 2144 2289 2434 2579 2724 2869 3014 3159 3304 3449 3594 3739
## [30085] 3884 4029 4174 4319 4464 4609 4754 4899 5044 5189 5334 5479
## [30097] 5624 5769 5914 6059 6204 6349 6494 6639 6784 6929 7074 7219
## [30109] 7364 7509 7654 7799 7944 8089 8234 8379 8524 8669 8814 8959
## [30121] 9104 9249 9394 9539 9684 9829 9974 10119 10264 10409 10554 10699
## [30133] 10844 10989 11134 11279 11424 11569 11714 11859 12004 12149 12294 12439
## [30145] 12584 12729 12874 13019 13164 13309 13454 13599 13744 13889 14034 14179
## [30157] 14324 14469 14614 14759 14904 15049 15194 15339 15484 15629 15774 15919
## [30169] 16064 16209 16354 16499 16644 16789 16934 17079 17224 17369 17514 17659
## [30181] 17804 17949 18094 18239 18384 18529 18674 18819 18964 19109 19254 19399
## [30193] 19544 19689 19834 19979 20124 20269 20414 20559 20704 20849 20994 21139
## [30205] 21284 21429 21574 21719 21864 22009 22154 22299 22444 22589 22734 22879
## [30217] 23024 23169 23314 23459 23604 23749 23894 24039 24184 24329 24474 24619
## [30229] 24764 24909 25054 25199 25344 25489 25634 25779 25924 26069 26214 26359
## [30241] 26504 26649 26794 26939 27084 27229 27374 27519 27664 27809 27954 28099
## [30253] 28244 28389 28534 28679 28824 28969 29114 29259 29404 29549 29694 29839
## [30265] 29984 30129 30274 30419 30564 30709 30854 30999 31144 31289 31434 31579
## [30277] 31724 31869 32014 32159 32304 32449 32594 32739 32884 33029 33174 33319
## [30289] 33464 33609 33754 33899 34044 34189 34334 34479 34624 34769 34914 35059
## [30301] 35204 35349 35494 35639 35784 35929 36074 36219 36364 36509 36654 36799
## [30313] 36944 37089 37234 37379 37524 37669 37814 37959 38104 38249 38394 38539
## [30325] 115 260 405 550 695 840 985 1130 1275 1420 1565 1710
## [30337] 1855 2000 2145 2290 2435 2580 2725 2870 3015 3160 3305 3450
## [30349] 3595 3740 3885 4030 4175 4320 4465 4610 4755 4900 5045 5190
## [30361] 5335 5480 5625 5770 5915 6060 6205 6350 6495 6640 6785 6930
## [30373] 7075 7220 7365 7510 7655 7800 7945 8090 8235 8380 8525 8670
## [30385] 8815 8960 9105 9250 9395 9540 9685 9830 9975 10120 10265 10410
## [30397] 10555 10700 10845 10990 11135 11280 11425 11570 11715 11860 12005 12150
## [30409] 12295 12440 12585 12730 12875 13020 13165 13310 13455 13600 13745 13890
## [30421] 14035 14180 14325 14470 14615 14760 14905 15050 15195 15340 15485 15630
## [30433] 15775 15920 16065 16210 16355 16500 16645 16790 16935 17080 17225 17370
## [30445] 17515 17660 17805 17950 18095 18240 18385 18530 18675 18820 18965 19110
## [30457] 19255 19400 19545 19690 19835 19980 20125 20270 20415 20560 20705 20850
## [30469] 20995 21140 21285 21430 21575 21720 21865 22010 22155 22300 22445 22590
## [30481] 22735 22880 23025 23170 23315 23460 23605 23750 23895 24040 24185 24330
## [30493] 24475 24620 24765 24910 25055 25200 25345 25490 25635 25780 25925 26070
## [30505] 26215 26360 26505 26650 26795 26940 27085 27230 27375 27520 27665 27810
## [30517] 27955 28100 28245 28390 28535 28680 28825 28970 29115 29260 29405 29550
## [30529] 29695 29840 29985 30130 30275 30420 30565 30710 30855 31000 31145 31290
## [30541] 31435 31580 31725 31870 32015 32160 32305 32450 32595 32740 32885 33030
## [30553] 33175 33320 33465 33610 33755 33900 34045 34190 34335 34480 34625 34770
## [30565] 34915 35060 35205 35350 35495 35640 35785 35930 36075 36220 36365 36510
## [30577] 36655 36800 36945 37090 37235 37380 37525 37670 37815 37960 38105 38250
## [30589] 38395 38540 116 261 406 551 696 841 986 1131 1276 1421
## [30601] 1566 1711 1856 2001 2146 2291 2436 2581 2726 2871 3016 3161
## [30613] 3306 3451 3596 3741 3886 4031 4176 4321 4466 4611 4756 4901
## [30625] 5046 5191 5336 5481 5626 5771 5916 6061 6206 6351 6496 6641
## [30637] 6786 6931 7076 7221 7366 7511 7656 7801 7946 8091 8236 8381
## [30649] 8526 8671 8816 8961 9106 9251 9396 9541 9686 9831 9976 10121
## [30661] 10266 10411 10556 10701 10846 10991 11136 11281 11426 11571 11716 11861
## [30673] 12006 12151 12296 12441 12586 12731 12876 13021 13166 13311 13456 13601
## [30685] 13746 13891 14036 14181 14326 14471 14616 14761 14906 15051 15196 15341
## [30697] 15486 15631 15776 15921 16066 16211 16356 16501 16646 16791 16936 17081
## [30709] 17226 17371 17516 17661 17806 17951 18096 18241 18386 18531 18676 18821
## [30721] 18966 19111 19256 19401 19546 19691 19836 19981 20126 20271 20416 20561
## [30733] 20706 20851 20996 21141 21286 21431 21576 21721 21866 22011 22156 22301
## [30745] 22446 22591 22736 22881 23026 23171 23316 23461 23606 23751 23896 24041
## [30757] 24186 24331 24476 24621 24766 24911 25056 25201 25346 25491 25636 25781
## [30769] 25926 26071 26216 26361 26506 26651 26796 26941 27086 27231 27376 27521
## [30781] 27666 27811 27956 28101 28246 28391 28536 28681 28826 28971 29116 29261
## [30793] 29406 29551 29696 29841 29986 30131 30276 30421 30566 30711 30856 31001
## [30805] 31146 31291 31436 31581 31726 31871 32016 32161 32306 32451 32596 32741
## [30817] 32886 33031 33176 33321 33466 33611 33756 33901 34046 34191 34336 34481
## [30829] 34626 34771 34916 35061 35206 35351 35496 35641 35786 35931 36076 36221
## [30841] 36366 36511 36656 36801 36946 37091 37236 37381 37526 37671 37816 37961
## [30853] 38106 38251 38396 38541 117 262 407 552 697 842 987 1132
## [30865] 1277 1422 1567 1712 1857 2002 2147 2292 2437 2582 2727 2872
## [30877] 3017 3162 3307 3452 3597 3742 3887 4032 4177 4322 4467 4612
## [30889] 4757 4902 5047 5192 5337 5482 5627 5772 5917 6062 6207 6352
## [30901] 6497 6642 6787 6932 7077 7222 7367 7512 7657 7802 7947 8092
## [30913] 8237 8382 8527 8672 8817 8962 9107 9252 9397 9542 9687 9832
## [30925] 9977 10122 10267 10412 10557 10702 10847 10992 11137 11282 11427 11572
## [30937] 11717 11862 12007 12152 12297 12442 12587 12732 12877 13022 13167 13312
## [30949] 13457 13602 13747 13892 14037 14182 14327 14472 14617 14762 14907 15052
## [30961] 15197 15342 15487 15632 15777 15922 16067 16212 16357 16502 16647 16792
## [30973] 16937 17082 17227 17372 17517 17662 17807 17952 18097 18242 18387 18532
## [30985] 18677 18822 18967 19112 19257 19402 19547 19692 19837 19982 20127 20272
## [30997] 20417 20562 20707 20852 20997 21142 21287 21432 21577 21722 21867 22012
## [31009] 22157 22302 22447 22592 22737 22882 23027 23172 23317 23462 23607 23752
## [31021] 23897 24042 24187 24332 24477 24622 24767 24912 25057 25202 25347 25492
## [31033] 25637 25782 25927 26072 26217 26362 26507 26652 26797 26942 27087 27232
## [31045] 27377 27522 27667 27812 27957 28102 28247 28392 28537 28682 28827 28972
## [31057] 29117 29262 29407 29552 29697 29842 29987 30132 30277 30422 30567 30712
## [31069] 30857 31002 31147 31292 31437 31582 31727 31872 32017 32162 32307 32452
## [31081] 32597 32742 32887 33032 33177 33322 33467 33612 33757 33902 34047 34192
## [31093] 34337 34482 34627 34772 34917 35062 35207 35352 35497 35642 35787 35932
## [31105] 36077 36222 36367 36512 36657 36802 36947 37092 37237 37382 37527 37672
## [31117] 37817 37962 38107 38252 38397 38542 118 263 408 553 698 843
## [31129] 988 1133 1278 1423 1568 1713 1858 2003 2148 2293 2438 2583
## [31141] 2728 2873 3018 3163 3308 3453 3598 3743 3888 4033 4178 4323
## [31153] 4468 4613 4758 4903 5048 5193 5338 5483 5628 5773 5918 6063
## [31165] 6208 6353 6498 6643 6788 6933 7078 7223 7368 7513 7658 7803
## [31177] 7948 8093 8238 8383 8528 8673 8818 8963 9108 9253 9398 9543
## [31189] 9688 9833 9978 10123 10268 10413 10558 10703 10848 10993 11138 11283
## [31201] 11428 11573 11718 11863 12008 12153 12298 12443 12588 12733 12878 13023
## [31213] 13168 13313 13458 13603 13748 13893 14038 14183 14328 14473 14618 14763
## [31225] 14908 15053 15198 15343 15488 15633 15778 15923 16068 16213 16358 16503
## [31237] 16648 16793 16938 17083 17228 17373 17518 17663 17808 17953 18098 18243
## [31249] 18388 18533 18678 18823 18968 19113 19258 19403 19548 19693 19838 19983
## [31261] 20128 20273 20418 20563 20708 20853 20998 21143 21288 21433 21578 21723
## [31273] 21868 22013 22158 22303 22448 22593 22738 22883 23028 23173 23318 23463
## [31285] 23608 23753 23898 24043 24188 24333 24478 24623 24768 24913 25058 25203
## [31297] 25348 25493 25638 25783 25928 26073 26218 26363 26508 26653 26798 26943
## [31309] 27088 27233 27378 27523 27668 27813 27958 28103 28248 28393 28538 28683
## [31321] 28828 28973 29118 29263 29408 29553 29698 29843 29988 30133 30278 30423
## [31333] 30568 30713 30858 31003 31148 31293 31438 31583 31728 31873 32018 32163
## [31345] 32308 32453 32598 32743 32888 33033 33178 33323 33468 33613 33758 33903
## [31357] 34048 34193 34338 34483 34628 34773 34918 35063 35208 35353 35498 35643
## [31369] 35788 35933 36078 36223 36368 36513 36658 36803 36948 37093 37238 37383
## [31381] 37528 37673 37818 37963 38108 38253 38398 38543 119 264 409 554
## [31393] 699 844 989 1134 1279 1424 1569 1714 1859 2004 2149 2294
## [31405] 2439 2584 2729 2874 3019 3164 3309 3454 3599 3744 3889 4034
## [31417] 4179 4324 4469 4614 4759 4904 5049 5194 5339 5484 5629 5774
## [31429] 5919 6064 6209 6354 6499 6644 6789 6934 7079 7224 7369 7514
## [31441] 7659 7804 7949 8094 8239 8384 8529 8674 8819 8964 9109 9254
## [31453] 9399 9544 9689 9834 9979 10124 10269 10414 10559 10704 10849 10994
## [31465] 11139 11284 11429 11574 11719 11864 12009 12154 12299 12444 12589 12734
## [31477] 12879 13024 13169 13314 13459 13604 13749 13894 14039 14184 14329 14474
## [31489] 14619 14764 14909 15054 15199 15344 15489 15634 15779 15924 16069 16214
## [31501] 16359 16504 16649 16794 16939 17084 17229 17374 17519 17664 17809 17954
## [31513] 18099 18244 18389 18534 18679 18824 18969 19114 19259 19404 19549 19694
## [31525] 19839 19984 20129 20274 20419 20564 20709 20854 20999 21144 21289 21434
## [31537] 21579 21724 21869 22014 22159 22304 22449 22594 22739 22884 23029 23174
## [31549] 23319 23464 23609 23754 23899 24044 24189 24334 24479 24624 24769 24914
## [31561] 25059 25204 25349 25494 25639 25784 25929 26074 26219 26364 26509 26654
## [31573] 26799 26944 27089 27234 27379 27524 27669 27814 27959 28104 28249 28394
## [31585] 28539 28684 28829 28974 29119 29264 29409 29554 29699 29844 29989 30134
## [31597] 30279 30424 30569 30714 30859 31004 31149 31294 31439 31584 31729 31874
## [31609] 32019 32164 32309 32454 32599 32744 32889 33034 33179 33324 33469 33614
## [31621] 33759 33904 34049 34194 34339 34484 34629 34774 34919 35064 35209 35354
## [31633] 35499 35644 35789 35934 36079 36224 36369 36514 36659 36804 36949 37094
## [31645] 37239 37384 37529 37674 37819 37964 38109 38254 38399 38544 120 265
## [31657] 410 555 700 845 990 1135 1280 1425 1570 1715 1860 2005
## [31669] 2150 2295 2440 2585 2730 2875 3020 3165 3310 3455 3600 3745
## [31681] 3890 4035 4180 4325 4470 4615 4760 4905 5050 5195 5340 5485
## [31693] 5630 5775 5920 6065 6210 6355 6500 6645 6790 6935 7080 7225
## [31705] 7370 7515 7660 7805 7950 8095 8240 8385 8530 8675 8820 8965
## [31717] 9110 9255 9400 9545 9690 9835 9980 10125 10270 10415 10560 10705
## [31729] 10850 10995 11140 11285 11430 11575 11720 11865 12010 12155 12300 12445
## [31741] 12590 12735 12880 13025 13170 13315 13460 13605 13750 13895 14040 14185
## [31753] 14330 14475 14620 14765 14910 15055 15200 15345 15490 15635 15780 15925
## [31765] 16070 16215 16360 16505 16650 16795 16940 17085 17230 17375 17520 17665
## [31777] 17810 17955 18100 18245 18390 18535 18680 18825 18970 19115 19260 19405
## [31789] 19550 19695 19840 19985 20130 20275 20420 20565 20710 20855 21000 21145
## [31801] 21290 21435 21580 21725 21870 22015 22160 22305 22450 22595 22740 22885
## [31813] 23030 23175 23320 23465 23610 23755 23900 24045 24190 24335 24480 24625
## [31825] 24770 24915 25060 25205 25350 25495 25640 25785 25930 26075 26220 26365
## [31837] 26510 26655 26800 26945 27090 27235 27380 27525 27670 27815 27960 28105
## [31849] 28250 28395 28540 28685 28830 28975 29120 29265 29410 29555 29700 29845
## [31861] 29990 30135 30280 30425 30570 30715 30860 31005 31150 31295 31440 31585
## [31873] 31730 31875 32020 32165 32310 32455 32600 32745 32890 33035 33180 33325
## [31885] 33470 33615 33760 33905 34050 34195 34340 34485 34630 34775 34920 35065
## [31897] 35210 35355 35500 35645 35790 35935 36080 36225 36370 36515 36660 36805
## [31909] 36950 37095 37240 37385 37530 37675 37820 37965 38110 38255 38400 38545
## [31921] 121 266 411 556 701 846 991 1136 1281 1426 1571 1716
## [31933] 1861 2006 2151 2296 2441 2586 2731 2876 3021 3166 3311 3456
## [31945] 3601 3746 3891 4036 4181 4326 4471 4616 4761 4906 5051 5196
## [31957] 5341 5486 5631 5776 5921 6066 6211 6356 6501 6646 6791 6936
## [31969] 7081 7226 7371 7516 7661 7806 7951 8096 8241 8386 8531 8676
## [31981] 8821 8966 9111 9256 9401 9546 9691 9836 9981 10126 10271 10416
## [31993] 10561 10706 10851 10996 11141 11286 11431 11576 11721 11866 12011 12156
## [32005] 12301 12446 12591 12736 12881 13026 13171 13316 13461 13606 13751 13896
## [32017] 14041 14186 14331 14476 14621 14766 14911 15056 15201 15346 15491 15636
## [32029] 15781 15926 16071 16216 16361 16506 16651 16796 16941 17086 17231 17376
## [32041] 17521 17666 17811 17956 18101 18246 18391 18536 18681 18826 18971 19116
## [32053] 19261 19406 19551 19696 19841 19986 20131 20276 20421 20566 20711 20856
## [32065] 21001 21146 21291 21436 21581 21726 21871 22016 22161 22306 22451 22596
## [32077] 22741 22886 23031 23176 23321 23466 23611 23756 23901 24046 24191 24336
## [32089] 24481 24626 24771 24916 25061 25206 25351 25496 25641 25786 25931 26076
## [32101] 26221 26366 26511 26656 26801 26946 27091 27236 27381 27526 27671 27816
## [32113] 27961 28106 28251 28396 28541 28686 28831 28976 29121 29266 29411 29556
## [32125] 29701 29846 29991 30136 30281 30426 30571 30716 30861 31006 31151 31296
## [32137] 31441 31586 31731 31876 32021 32166 32311 32456 32601 32746 32891 33036
## [32149] 33181 33326 33471 33616 33761 33906 34051 34196 34341 34486 34631 34776
## [32161] 34921 35066 35211 35356 35501 35646 35791 35936 36081 36226 36371 36516
## [32173] 36661 36806 36951 37096 37241 37386 37531 37676 37821 37966 38111 38256
## [32185] 38401 38546 122 267 412 557 702 847 992 1137 1282 1427
## [32197] 1572 1717 1862 2007 2152 2297 2442 2587 2732 2877 3022 3167
## [32209] 3312 3457 3602 3747 3892 4037 4182 4327 4472 4617 4762 4907
## [32221] 5052 5197 5342 5487 5632 5777 5922 6067 6212 6357 6502 6647
## [32233] 6792 6937 7082 7227 7372 7517 7662 7807 7952 8097 8242 8387
## [32245] 8532 8677 8822 8967 9112 9257 9402 9547 9692 9837 9982 10127
## [32257] 10272 10417 10562 10707 10852 10997 11142 11287 11432 11577 11722 11867
## [32269] 12012 12157 12302 12447 12592 12737 12882 13027 13172 13317 13462 13607
## [32281] 13752 13897 14042 14187 14332 14477 14622 14767 14912 15057 15202 15347
## [32293] 15492 15637 15782 15927 16072 16217 16362 16507 16652 16797 16942 17087
## [32305] 17232 17377 17522 17667 17812 17957 18102 18247 18392 18537 18682 18827
## [32317] 18972 19117 19262 19407 19552 19697 19842 19987 20132 20277 20422 20567
## [32329] 20712 20857 21002 21147 21292 21437 21582 21727 21872 22017 22162 22307
## [32341] 22452 22597 22742 22887 23032 23177 23322 23467 23612 23757 23902 24047
## [32353] 24192 24337 24482 24627 24772 24917 25062 25207 25352 25497 25642 25787
## [32365] 25932 26077 26222 26367 26512 26657 26802 26947 27092 27237 27382 27527
## [32377] 27672 27817 27962 28107 28252 28397 28542 28687 28832 28977 29122 29267
## [32389] 29412 29557 29702 29847 29992 30137 30282 30427 30572 30717 30862 31007
## [32401] 31152 31297 31442 31587 31732 31877 32022 32167 32312 32457 32602 32747
## [32413] 32892 33037 33182 33327 33472 33617 33762 33907 34052 34197 34342 34487
## [32425] 34632 34777 34922 35067 35212 35357 35502 35647 35792 35937 36082 36227
## [32437] 36372 36517 36662 36807 36952 37097 37242 37387 37532 37677 37822 37967
## [32449] 38112 38257 38402 38547 123 268 413 558 703 848 993 1138
## [32461] 1283 1428 1573 1718 1863 2008 2153 2298 2443 2588 2733 2878
## [32473] 3023 3168 3313 3458 3603 3748 3893 4038 4183 4328 4473 4618
## [32485] 4763 4908 5053 5198 5343 5488 5633 5778 5923 6068 6213 6358
## [32497] 6503 6648 6793 6938 7083 7228 7373 7518 7663 7808 7953 8098
## [32509] 8243 8388 8533 8678 8823 8968 9113 9258 9403 9548 9693 9838
## [32521] 9983 10128 10273 10418 10563 10708 10853 10998 11143 11288 11433 11578
## [32533] 11723 11868 12013 12158 12303 12448 12593 12738 12883 13028 13173 13318
## [32545] 13463 13608 13753 13898 14043 14188 14333 14478 14623 14768 14913 15058
## [32557] 15203 15348 15493 15638 15783 15928 16073 16218 16363 16508 16653 16798
## [32569] 16943 17088 17233 17378 17523 17668 17813 17958 18103 18248 18393 18538
## [32581] 18683 18828 18973 19118 19263 19408 19553 19698 19843 19988 20133 20278
## [32593] 20423 20568 20713 20858 21003 21148 21293 21438 21583 21728 21873 22018
## [32605] 22163 22308 22453 22598 22743 22888 23033 23178 23323 23468 23613 23758
## [32617] 23903 24048 24193 24338 24483 24628 24773 24918 25063 25208 25353 25498
## [32629] 25643 25788 25933 26078 26223 26368 26513 26658 26803 26948 27093 27238
## [32641] 27383 27528 27673 27818 27963 28108 28253 28398 28543 28688 28833 28978
## [32653] 29123 29268 29413 29558 29703 29848 29993 30138 30283 30428 30573 30718
## [32665] 30863 31008 31153 31298 31443 31588 31733 31878 32023 32168 32313 32458
## [32677] 32603 32748 32893 33038 33183 33328 33473 33618 33763 33908 34053 34198
## [32689] 34343 34488 34633 34778 34923 35068 35213 35358 35503 35648 35793 35938
## [32701] 36083 36228 36373 36518 36663 36808 36953 37098 37243 37388 37533 37678
## [32713] 37823 37968 38113 38258 38403 38548 124 269 414 559 704 849
## [32725] 994 1139 1284 1429 1574 1719 1864 2009 2154 2299 2444 2589
## [32737] 2734 2879 3024 3169 3314 3459 3604 3749 3894 4039 4184 4329
## [32749] 4474 4619 4764 4909 5054 5199 5344 5489 5634 5779 5924 6069
## [32761] 6214 6359 6504 6649 6794 6939 7084 7229 7374 7519 7664 7809
## [32773] 7954 8099 8244 8389 8534 8679 8824 8969 9114 9259 9404 9549
## [32785] 9694 9839 9984 10129 10274 10419 10564 10709 10854 10999 11144 11289
## [32797] 11434 11579 11724 11869 12014 12159 12304 12449 12594 12739 12884 13029
## [32809] 13174 13319 13464 13609 13754 13899 14044 14189 14334 14479 14624 14769
## [32821] 14914 15059 15204 15349 15494 15639 15784 15929 16074 16219 16364 16509
## [32833] 16654 16799 16944 17089 17234 17379 17524 17669 17814 17959 18104 18249
## [32845] 18394 18539 18684 18829 18974 19119 19264 19409 19554 19699 19844 19989
## [32857] 20134 20279 20424 20569 20714 20859 21004 21149 21294 21439 21584 21729
## [32869] 21874 22019 22164 22309 22454 22599 22744 22889 23034 23179 23324 23469
## [32881] 23614 23759 23904 24049 24194 24339 24484 24629 24774 24919 25064 25209
## [32893] 25354 25499 25644 25789 25934 26079 26224 26369 26514 26659 26804 26949
## [32905] 27094 27239 27384 27529 27674 27819 27964 28109 28254 28399 28544 28689
## [32917] 28834 28979 29124 29269 29414 29559 29704 29849 29994 30139 30284 30429
## [32929] 30574 30719 30864 31009 31154 31299 31444 31589 31734 31879 32024 32169
## [32941] 32314 32459 32604 32749 32894 33039 33184 33329 33474 33619 33764 33909
## [32953] 34054 34199 34344 34489 34634 34779 34924 35069 35214 35359 35504 35649
## [32965] 35794 35939 36084 36229 36374 36519 36664 36809 36954 37099 37244 37389
## [32977] 37534 37679 37824 37969 38114 38259 38404 38549 125 270 415 560
## [32989] 705 850 995 1140 1285 1430 1575 1720 1865 2010 2155 2300
## [33001] 2445 2590 2735 2880 3025 3170 3315 3460 3605 3750 3895 4040
## [33013] 4185 4330 4475 4620 4765 4910 5055 5200 5345 5490 5635 5780
## [33025] 5925 6070 6215 6360 6505 6650 6795 6940 7085 7230 7375 7520
## [33037] 7665 7810 7955 8100 8245 8390 8535 8680 8825 8970 9115 9260
## [33049] 9405 9550 9695 9840 9985 10130 10275 10420 10565 10710 10855 11000
## [33061] 11145 11290 11435 11580 11725 11870 12015 12160 12305 12450 12595 12740
## [33073] 12885 13030 13175 13320 13465 13610 13755 13900 14045 14190 14335 14480
## [33085] 14625 14770 14915 15060 15205 15350 15495 15640 15785 15930 16075 16220
## [33097] 16365 16510 16655 16800 16945 17090 17235 17380 17525 17670 17815 17960
## [33109] 18105 18250 18395 18540 18685 18830 18975 19120 19265 19410 19555 19700
## [33121] 19845 19990 20135 20280 20425 20570 20715 20860 21005 21150 21295 21440
## [33133] 21585 21730 21875 22020 22165 22310 22455 22600 22745 22890 23035 23180
## [33145] 23325 23470 23615 23760 23905 24050 24195 24340 24485 24630 24775 24920
## [33157] 25065 25210 25355 25500 25645 25790 25935 26080 26225 26370 26515 26660
## [33169] 26805 26950 27095 27240 27385 27530 27675 27820 27965 28110 28255 28400
## [33181] 28545 28690 28835 28980 29125 29270 29415 29560 29705 29850 29995 30140
## [33193] 30285 30430 30575 30720 30865 31010 31155 31300 31445 31590 31735 31880
## [33205] 32025 32170 32315 32460 32605 32750 32895 33040 33185 33330 33475 33620
## [33217] 33765 33910 34055 34200 34345 34490 34635 34780 34925 35070 35215 35360
## [33229] 35505 35650 35795 35940 36085 36230 36375 36520 36665 36810 36955 37100
## [33241] 37245 37390 37535 37680 37825 37970 38115 38260 38405 38550 126 271
## [33253] 416 561 706 851 996 1141 1286 1431 1576 1721 1866 2011
## [33265] 2156 2301 2446 2591 2736 2881 3026 3171 3316 3461 3606 3751
## [33277] 3896 4041 4186 4331 4476 4621 4766 4911 5056 5201 5346 5491
## [33289] 5636 5781 5926 6071 6216 6361 6506 6651 6796 6941 7086 7231
## [33301] 7376 7521 7666 7811 7956 8101 8246 8391 8536 8681 8826 8971
## [33313] 9116 9261 9406 9551 9696 9841 9986 10131 10276 10421 10566 10711
## [33325] 10856 11001 11146 11291 11436 11581 11726 11871 12016 12161 12306 12451
## [33337] 12596 12741 12886 13031 13176 13321 13466 13611 13756 13901 14046 14191
## [33349] 14336 14481 14626 14771 14916 15061 15206 15351 15496 15641 15786 15931
## [33361] 16076 16221 16366 16511 16656 16801 16946 17091 17236 17381 17526 17671
## [33373] 17816 17961 18106 18251 18396 18541 18686 18831 18976 19121 19266 19411
## [33385] 19556 19701 19846 19991 20136 20281 20426 20571 20716 20861 21006 21151
## [33397] 21296 21441 21586 21731 21876 22021 22166 22311 22456 22601 22746 22891
## [33409] 23036 23181 23326 23471 23616 23761 23906 24051 24196 24341 24486 24631
## [33421] 24776 24921 25066 25211 25356 25501 25646 25791 25936 26081 26226 26371
## [33433] 26516 26661 26806 26951 27096 27241 27386 27531 27676 27821 27966 28111
## [33445] 28256 28401 28546 28691 28836 28981 29126 29271 29416 29561 29706 29851
## [33457] 29996 30141 30286 30431 30576 30721 30866 31011 31156 31301 31446 31591
## [33469] 31736 31881 32026 32171 32316 32461 32606 32751 32896 33041 33186 33331
## [33481] 33476 33621 33766 33911 34056 34201 34346 34491 34636 34781 34926 35071
## [33493] 35216 35361 35506 35651 35796 35941 36086 36231 36376 36521 36666 36811
## [33505] 36956 37101 37246 37391 37536 37681 37826 37971 38116 38261 38406 38551
## [33517] 127 272 417 562 707 852 997 1142 1287 1432 1577 1722
## [33529] 1867 2012 2157 2302 2447 2592 2737 2882 3027 3172 3317 3462
## [33541] 3607 3752 3897 4042 4187 4332 4477 4622 4767 4912 5057 5202
## [33553] 5347 5492 5637 5782 5927 6072 6217 6362 6507 6652 6797 6942
## [33565] 7087 7232 7377 7522 7667 7812 7957 8102 8247 8392 8537 8682
## [33577] 8827 8972 9117 9262 9407 9552 9697 9842 9987 10132 10277 10422
## [33589] 10567 10712 10857 11002 11147 11292 11437 11582 11727 11872 12017 12162
## [33601] 12307 12452 12597 12742 12887 13032 13177 13322 13467 13612 13757 13902
## [33613] 14047 14192 14337 14482 14627 14772 14917 15062 15207 15352 15497 15642
## [33625] 15787 15932 16077 16222 16367 16512 16657 16802 16947 17092 17237 17382
## [33637] 17527 17672 17817 17962 18107 18252 18397 18542 18687 18832 18977 19122
## [33649] 19267 19412 19557 19702 19847 19992 20137 20282 20427 20572 20717 20862
## [33661] 21007 21152 21297 21442 21587 21732 21877 22022 22167 22312 22457 22602
## [33673] 22747 22892 23037 23182 23327 23472 23617 23762 23907 24052 24197 24342
## [33685] 24487 24632 24777 24922 25067 25212 25357 25502 25647 25792 25937 26082
## [33697] 26227 26372 26517 26662 26807 26952 27097 27242 27387 27532 27677 27822
## [33709] 27967 28112 28257 28402 28547 28692 28837 28982 29127 29272 29417 29562
## [33721] 29707 29852 29997 30142 30287 30432 30577 30722 30867 31012 31157 31302
## [33733] 31447 31592 31737 31882 32027 32172 32317 32462 32607 32752 32897 33042
## [33745] 33187 33332 33477 33622 33767 33912 34057 34202 34347 34492 34637 34782
## [33757] 34927 35072 35217 35362 35507 35652 35797 35942 36087 36232 36377 36522
## [33769] 36667 36812 36957 37102 37247 37392 37537 37682 37827 37972 38117 38262
## [33781] 38407 38552 128 273 418 563 708 853 998 1143 1288 1433
## [33793] 1578 1723 1868 2013 2158 2303 2448 2593 2738 2883 3028 3173
## [33805] 3318 3463 3608 3753 3898 4043 4188 4333 4478 4623 4768 4913
## [33817] 5058 5203 5348 5493 5638 5783 5928 6073 6218 6363 6508 6653
## [33829] 6798 6943 7088 7233 7378 7523 7668 7813 7958 8103 8248 8393
## [33841] 8538 8683 8828 8973 9118 9263 9408 9553 9698 9843 9988 10133
## [33853] 10278 10423 10568 10713 10858 11003 11148 11293 11438 11583 11728 11873
## [33865] 12018 12163 12308 12453 12598 12743 12888 13033 13178 13323 13468 13613
## [33877] 13758 13903 14048 14193 14338 14483 14628 14773 14918 15063 15208 15353
## [33889] 15498 15643 15788 15933 16078 16223 16368 16513 16658 16803 16948 17093
## [33901] 17238 17383 17528 17673 17818 17963 18108 18253 18398 18543 18688 18833
## [33913] 18978 19123 19268 19413 19558 19703 19848 19993 20138 20283 20428 20573
## [33925] 20718 20863 21008 21153 21298 21443 21588 21733 21878 22023 22168 22313
## [33937] 22458 22603 22748 22893 23038 23183 23328 23473 23618 23763 23908 24053
## [33949] 24198 24343 24488 24633 24778 24923 25068 25213 25358 25503 25648 25793
## [33961] 25938 26083 26228 26373 26518 26663 26808 26953 27098 27243 27388 27533
## [33973] 27678 27823 27968 28113 28258 28403 28548 28693 28838 28983 29128 29273
## [33985] 29418 29563 29708 29853 29998 30143 30288 30433 30578 30723 30868 31013
## [33997] 31158 31303 31448 31593 31738 31883 32028 32173 32318 32463 32608 32753
## [34009] 32898 33043 33188 33333 33478 33623 33768 33913 34058 34203 34348 34493
## [34021] 34638 34783 34928 35073 35218 35363 35508 35653 35798 35943 36088 36233
## [34033] 36378 36523 36668 36813 36958 37103 37248 37393 37538 37683 37828 37973
## [34045] 38118 38263 38408 38553 129 274 419 564 709 854 999 1144
## [34057] 1289 1434 1579 1724 1869 2014 2159 2304 2449 2594 2739 2884
## [34069] 3029 3174 3319 3464 3609 3754 3899 4044 4189 4334 4479 4624
## [34081] 4769 4914 5059 5204 5349 5494 5639 5784 5929 6074 6219 6364
## [34093] 6509 6654 6799 6944 7089 7234 7379 7524 7669 7814 7959 8104
## [34105] 8249 8394 8539 8684 8829 8974 9119 9264 9409 9554 9699 9844
## [34117] 9989 10134 10279 10424 10569 10714 10859 11004 11149 11294 11439 11584
## [34129] 11729 11874 12019 12164 12309 12454 12599 12744 12889 13034 13179 13324
## [34141] 13469 13614 13759 13904 14049 14194 14339 14484 14629 14774 14919 15064
## [34153] 15209 15354 15499 15644 15789 15934 16079 16224 16369 16514 16659 16804
## [34165] 16949 17094 17239 17384 17529 17674 17819 17964 18109 18254 18399 18544
## [34177] 18689 18834 18979 19124 19269 19414 19559 19704 19849 19994 20139 20284
## [34189] 20429 20574 20719 20864 21009 21154 21299 21444 21589 21734 21879 22024
## [34201] 22169 22314 22459 22604 22749 22894 23039 23184 23329 23474 23619 23764
## [34213] 23909 24054 24199 24344 24489 24634 24779 24924 25069 25214 25359 25504
## [34225] 25649 25794 25939 26084 26229 26374 26519 26664 26809 26954 27099 27244
## [34237] 27389 27534 27679 27824 27969 28114 28259 28404 28549 28694 28839 28984
## [34249] 29129 29274 29419 29564 29709 29854 29999 30144 30289 30434 30579 30724
## [34261] 30869 31014 31159 31304 31449 31594 31739 31884 32029 32174 32319 32464
## [34273] 32609 32754 32899 33044 33189 33334 33479 33624 33769 33914 34059 34204
## [34285] 34349 34494 34639 34784 34929 35074 35219 35364 35509 35654 35799 35944
## [34297] 36089 36234 36379 36524 36669 36814 36959 37104 37249 37394 37539 37684
## [34309] 37829 37974 38119 38264 38409 38554 130 275 420 565 710 855
## [34321] 1000 1145 1290 1435 1580 1725 1870 2015 2160 2305 2450 2595
## [34333] 2740 2885 3030 3175 3320 3465 3610 3755 3900 4045 4190 4335
## [34345] 4480 4625 4770 4915 5060 5205 5350 5495 5640 5785 5930 6075
## [34357] 6220 6365 6510 6655 6800 6945 7090 7235 7380 7525 7670 7815
## [34369] 7960 8105 8250 8395 8540 8685 8830 8975 9120 9265 9410 9555
## [34381] 9700 9845 9990 10135 10280 10425 10570 10715 10860 11005 11150 11295
## [34393] 11440 11585 11730 11875 12020 12165 12310 12455 12600 12745 12890 13035
## [34405] 13180 13325 13470 13615 13760 13905 14050 14195 14340 14485 14630 14775
## [34417] 14920 15065 15210 15355 15500 15645 15790 15935 16080 16225 16370 16515
## [34429] 16660 16805 16950 17095 17240 17385 17530 17675 17820 17965 18110 18255
## [34441] 18400 18545 18690 18835 18980 19125 19270 19415 19560 19705 19850 19995
## [34453] 20140 20285 20430 20575 20720 20865 21010 21155 21300 21445 21590 21735
## [34465] 21880 22025 22170 22315 22460 22605 22750 22895 23040 23185 23330 23475
## [34477] 23620 23765 23910 24055 24200 24345 24490 24635 24780 24925 25070 25215
## [34489] 25360 25505 25650 25795 25940 26085 26230 26375 26520 26665 26810 26955
## [34501] 27100 27245 27390 27535 27680 27825 27970 28115 28260 28405 28550 28695
## [34513] 28840 28985 29130 29275 29420 29565 29710 29855 30000 30145 30290 30435
## [34525] 30580 30725 30870 31015 31160 31305 31450 31595 31740 31885 32030 32175
## [34537] 32320 32465 32610 32755 32900 33045 33190 33335 33480 33625 33770 33915
## [34549] 34060 34205 34350 34495 34640 34785 34930 35075 35220 35365 35510 35655
## [34561] 35800 35945 36090 36235 36380 36525 36670 36815 36960 37105 37250 37395
## [34573] 37540 37685 37830 37975 38120 38265 38410 38555 131 276 421 566
## [34585] 711 856 1001 1146 1291 1436 1581 1726 1871 2016 2161 2306
## [34597] 2451 2596 2741 2886 3031 3176 3321 3466 3611 3756 3901 4046
## [34609] 4191 4336 4481 4626 4771 4916 5061 5206 5351 5496 5641 5786
## [34621] 5931 6076 6221 6366 6511 6656 6801 6946 7091 7236 7381 7526
## [34633] 7671 7816 7961 8106 8251 8396 8541 8686 8831 8976 9121 9266
## [34645] 9411 9556 9701 9846 9991 10136 10281 10426 10571 10716 10861 11006
## [34657] 11151 11296 11441 11586 11731 11876 12021 12166 12311 12456 12601 12746
## [34669] 12891 13036 13181 13326 13471 13616 13761 13906 14051 14196 14341 14486
## [34681] 14631 14776 14921 15066 15211 15356 15501 15646 15791 15936 16081 16226
## [34693] 16371 16516 16661 16806 16951 17096 17241 17386 17531 17676 17821 17966
## [34705] 18111 18256 18401 18546 18691 18836 18981 19126 19271 19416 19561 19706
## [34717] 19851 19996 20141 20286 20431 20576 20721 20866 21011 21156 21301 21446
## [34729] 21591 21736 21881 22026 22171 22316 22461 22606 22751 22896 23041 23186
## [34741] 23331 23476 23621 23766 23911 24056 24201 24346 24491 24636 24781 24926
## [34753] 25071 25216 25361 25506 25651 25796 25941 26086 26231 26376 26521 26666
## [34765] 26811 26956 27101 27246 27391 27536 27681 27826 27971 28116 28261 28406
## [34777] 28551 28696 28841 28986 29131 29276 29421 29566 29711 29856 30001 30146
## [34789] 30291 30436 30581 30726 30871 31016 31161 31306 31451 31596 31741 31886
## [34801] 32031 32176 32321 32466 32611 32756 32901 33046 33191 33336 33481 33626
## [34813] 33771 33916 34061 34206 34351 34496 34641 34786 34931 35076 35221 35366
## [34825] 35511 35656 35801 35946 36091 36236 36381 36526 36671 36816 36961 37106
## [34837] 37251 37396 37541 37686 37831 37976 38121 38266 38411 38556 132 277
## [34849] 422 567 712 857 1002 1147 1292 1437 1582 1727 1872 2017
## [34861] 2162 2307 2452 2597 2742 2887 3032 3177 3322 3467 3612 3757
## [34873] 3902 4047 4192 4337 4482 4627 4772 4917 5062 5207 5352 5497
## [34885] 5642 5787 5932 6077 6222 6367 6512 6657 6802 6947 7092 7237
## [34897] 7382 7527 7672 7817 7962 8107 8252 8397 8542 8687 8832 8977
## [34909] 9122 9267 9412 9557 9702 9847 9992 10137 10282 10427 10572 10717
## [34921] 10862 11007 11152 11297 11442 11587 11732 11877 12022 12167 12312 12457
## [34933] 12602 12747 12892 13037 13182 13327 13472 13617 13762 13907 14052 14197
## [34945] 14342 14487 14632 14777 14922 15067 15212 15357 15502 15647 15792 15937
## [34957] 16082 16227 16372 16517 16662 16807 16952 17097 17242 17387 17532 17677
## [34969] 17822 17967 18112 18257 18402 18547 18692 18837 18982 19127 19272 19417
## [34981] 19562 19707 19852 19997 20142 20287 20432 20577 20722 20867 21012 21157
## [34993] 21302 21447 21592 21737 21882 22027 22172 22317 22462 22607 22752 22897
## [35005] 23042 23187 23332 23477 23622 23767 23912 24057 24202 24347 24492 24637
## [35017] 24782 24927 25072 25217 25362 25507 25652 25797 25942 26087 26232 26377
## [35029] 26522 26667 26812 26957 27102 27247 27392 27537 27682 27827 27972 28117
## [35041] 28262 28407 28552 28697 28842 28987 29132 29277 29422 29567 29712 29857
## [35053] 30002 30147 30292 30437 30582 30727 30872 31017 31162 31307 31452 31597
## [35065] 31742 31887 32032 32177 32322 32467 32612 32757 32902 33047 33192 33337
## [35077] 33482 33627 33772 33917 34062 34207 34352 34497 34642 34787 34932 35077
## [35089] 35222 35367 35512 35657 35802 35947 36092 36237 36382 36527 36672 36817
## [35101] 36962 37107 37252 37397 37542 37687 37832 37977 38122 38267 38412 38557
## [35113] 133 278 423 568 713 858 1003 1148 1293 1438 1583 1728
## [35125] 1873 2018 2163 2308 2453 2598 2743 2888 3033 3178 3323 3468
## [35137] 3613 3758 3903 4048 4193 4338 4483 4628 4773 4918 5063 5208
## [35149] 5353 5498 5643 5788 5933 6078 6223 6368 6513 6658 6803 6948
## [35161] 7093 7238 7383 7528 7673 7818 7963 8108 8253 8398 8543 8688
## [35173] 8833 8978 9123 9268 9413 9558 9703 9848 9993 10138 10283 10428
## [35185] 10573 10718 10863 11008 11153 11298 11443 11588 11733 11878 12023 12168
## [35197] 12313 12458 12603 12748 12893 13038 13183 13328 13473 13618 13763 13908
## [35209] 14053 14198 14343 14488 14633 14778 14923 15068 15213 15358 15503 15648
## [35221] 15793 15938 16083 16228 16373 16518 16663 16808 16953 17098 17243 17388
## [35233] 17533 17678 17823 17968 18113 18258 18403 18548 18693 18838 18983 19128
## [35245] 19273 19418 19563 19708 19853 19998 20143 20288 20433 20578 20723 20868
## [35257] 21013 21158 21303 21448 21593 21738 21883 22028 22173 22318 22463 22608
## [35269] 22753 22898 23043 23188 23333 23478 23623 23768 23913 24058 24203 24348
## [35281] 24493 24638 24783 24928 25073 25218 25363 25508 25653 25798 25943 26088
## [35293] 26233 26378 26523 26668 26813 26958 27103 27248 27393 27538 27683 27828
## [35305] 27973 28118 28263 28408 28553 28698 28843 28988 29133 29278 29423 29568
## [35317] 29713 29858 30003 30148 30293 30438 30583 30728 30873 31018 31163 31308
## [35329] 31453 31598 31743 31888 32033 32178 32323 32468 32613 32758 32903 33048
## [35341] 33193 33338 33483 33628 33773 33918 34063 34208 34353 34498 34643 34788
## [35353] 34933 35078 35223 35368 35513 35658 35803 35948 36093 36238 36383 36528
## [35365] 36673 36818 36963 37108 37253 37398 37543 37688 37833 37978 38123 38268
## [35377] 38413 38558 134 279 424 569 714 859 1004 1149 1294 1439
## [35389] 1584 1729 1874 2019 2164 2309 2454 2599 2744 2889 3034 3179
## [35401] 3324 3469 3614 3759 3904 4049 4194 4339 4484 4629 4774 4919
## [35413] 5064 5209 5354 5499 5644 5789 5934 6079 6224 6369 6514 6659
## [35425] 6804 6949 7094 7239 7384 7529 7674 7819 7964 8109 8254 8399
## [35437] 8544 8689 8834 8979 9124 9269 9414 9559 9704 9849 9994 10139
## [35449] 10284 10429 10574 10719 10864 11009 11154 11299 11444 11589 11734 11879
## [35461] 12024 12169 12314 12459 12604 12749 12894 13039 13184 13329 13474 13619
## [35473] 13764 13909 14054 14199 14344 14489 14634 14779 14924 15069 15214 15359
## [35485] 15504 15649 15794 15939 16084 16229 16374 16519 16664 16809 16954 17099
## [35497] 17244 17389 17534 17679 17824 17969 18114 18259 18404 18549 18694 18839
## [35509] 18984 19129 19274 19419 19564 19709 19854 19999 20144 20289 20434 20579
## [35521] 20724 20869 21014 21159 21304 21449 21594 21739 21884 22029 22174 22319
## [35533] 22464 22609 22754 22899 23044 23189 23334 23479 23624 23769 23914 24059
## [35545] 24204 24349 24494 24639 24784 24929 25074 25219 25364 25509 25654 25799
## [35557] 25944 26089 26234 26379 26524 26669 26814 26959 27104 27249 27394 27539
## [35569] 27684 27829 27974 28119 28264 28409 28554 28699 28844 28989 29134 29279
## [35581] 29424 29569 29714 29859 30004 30149 30294 30439 30584 30729 30874 31019
## [35593] 31164 31309 31454 31599 31744 31889 32034 32179 32324 32469 32614 32759
## [35605] 32904 33049 33194 33339 33484 33629 33774 33919 34064 34209 34354 34499
## [35617] 34644 34789 34934 35079 35224 35369 35514 35659 35804 35949 36094 36239
## [35629] 36384 36529 36674 36819 36964 37109 37254 37399 37544 37689 37834 37979
## [35641] 38124 38269 38414 38559 135 280 425 570 715 860 1005 1150
## [35653] 1295 1440 1585 1730 1875 2020 2165 2310 2455 2600 2745 2890
## [35665] 3035 3180 3325 3470 3615 3760 3905 4050 4195 4340 4485 4630
## [35677] 4775 4920 5065 5210 5355 5500 5645 5790 5935 6080 6225 6370
## [35689] 6515 6660 6805 6950 7095 7240 7385 7530 7675 7820 7965 8110
## [35701] 8255 8400 8545 8690 8835 8980 9125 9270 9415 9560 9705 9850
## [35713] 9995 10140 10285 10430 10575 10720 10865 11010 11155 11300 11445 11590
## [35725] 11735 11880 12025 12170 12315 12460 12605 12750 12895 13040 13185 13330
## [35737] 13475 13620 13765 13910 14055 14200 14345 14490 14635 14780 14925 15070
## [35749] 15215 15360 15505 15650 15795 15940 16085 16230 16375 16520 16665 16810
## [35761] 16955 17100 17245 17390 17535 17680 17825 17970 18115 18260 18405 18550
## [35773] 18695 18840 18985 19130 19275 19420 19565 19710 19855 20000 20145 20290
## [35785] 20435 20580 20725 20870 21015 21160 21305 21450 21595 21740 21885 22030
## [35797] 22175 22320 22465 22610 22755 22900 23045 23190 23335 23480 23625 23770
## [35809] 23915 24060 24205 24350 24495 24640 24785 24930 25075 25220 25365 25510
## [35821] 25655 25800 25945 26090 26235 26380 26525 26670 26815 26960 27105 27250
## [35833] 27395 27540 27685 27830 27975 28120 28265 28410 28555 28700 28845 28990
## [35845] 29135 29280 29425 29570 29715 29860 30005 30150 30295 30440 30585 30730
## [35857] 30875 31020 31165 31310 31455 31600 31745 31890 32035 32180 32325 32470
## [35869] 32615 32760 32905 33050 33195 33340 33485 33630 33775 33920 34065 34210
## [35881] 34355 34500 34645 34790 34935 35080 35225 35370 35515 35660 35805 35950
## [35893] 36095 36240 36385 36530 36675 36820 36965 37110 37255 37400 37545 37690
## [35905] 37835 37980 38125 38270 38415 38560 136 281 426 571 716 861
## [35917] 1006 1151 1296 1441 1586 1731 1876 2021 2166 2311 2456 2601
## [35929] 2746 2891 3036 3181 3326 3471 3616 3761 3906 4051 4196 4341
## [35941] 4486 4631 4776 4921 5066 5211 5356 5501 5646 5791 5936 6081
## [35953] 6226 6371 6516 6661 6806 6951 7096 7241 7386 7531 7676 7821
## [35965] 7966 8111 8256 8401 8546 8691 8836 8981 9126 9271 9416 9561
## [35977] 9706 9851 9996 10141 10286 10431 10576 10721 10866 11011 11156 11301
## [35989] 11446 11591 11736 11881 12026 12171 12316 12461 12606 12751 12896 13041
## [36001] 13186 13331 13476 13621 13766 13911 14056 14201 14346 14491 14636 14781
## [36013] 14926 15071 15216 15361 15506 15651 15796 15941 16086 16231 16376 16521
## [36025] 16666 16811 16956 17101 17246 17391 17536 17681 17826 17971 18116 18261
## [36037] 18406 18551 18696 18841 18986 19131 19276 19421 19566 19711 19856 20001
## [36049] 20146 20291 20436 20581 20726 20871 21016 21161 21306 21451 21596 21741
## [36061] 21886 22031 22176 22321 22466 22611 22756 22901 23046 23191 23336 23481
## [36073] 23626 23771 23916 24061 24206 24351 24496 24641 24786 24931 25076 25221
## [36085] 25366 25511 25656 25801 25946 26091 26236 26381 26526 26671 26816 26961
## [36097] 27106 27251 27396 27541 27686 27831 27976 28121 28266 28411 28556 28701
## [36109] 28846 28991 29136 29281 29426 29571 29716 29861 30006 30151 30296 30441
## [36121] 30586 30731 30876 31021 31166 31311 31456 31601 31746 31891 32036 32181
## [36133] 32326 32471 32616 32761 32906 33051 33196 33341 33486 33631 33776 33921
## [36145] 34066 34211 34356 34501 34646 34791 34936 35081 35226 35371 35516 35661
## [36157] 35806 35951 36096 36241 36386 36531 36676 36821 36966 37111 37256 37401
## [36169] 37546 37691 37836 37981 38126 38271 38416 38561 137 282 427 572
## [36181] 717 862 1007 1152 1297 1442 1587 1732 1877 2022 2167 2312
## [36193] 2457 2602 2747 2892 3037 3182 3327 3472 3617 3762 3907 4052
## [36205] 4197 4342 4487 4632 4777 4922 5067 5212 5357 5502 5647 5792
## [36217] 5937 6082 6227 6372 6517 6662 6807 6952 7097 7242 7387 7532
## [36229] 7677 7822 7967 8112 8257 8402 8547 8692 8837 8982 9127 9272
## [36241] 9417 9562 9707 9852 9997 10142 10287 10432 10577 10722 10867 11012
## [36253] 11157 11302 11447 11592 11737 11882 12027 12172 12317 12462 12607 12752
## [36265] 12897 13042 13187 13332 13477 13622 13767 13912 14057 14202 14347 14492
## [36277] 14637 14782 14927 15072 15217 15362 15507 15652 15797 15942 16087 16232
## [36289] 16377 16522 16667 16812 16957 17102 17247 17392 17537 17682 17827 17972
## [36301] 18117 18262 18407 18552 18697 18842 18987 19132 19277 19422 19567 19712
## [36313] 19857 20002 20147 20292 20437 20582 20727 20872 21017 21162 21307 21452
## [36325] 21597 21742 21887 22032 22177 22322 22467 22612 22757 22902 23047 23192
## [36337] 23337 23482 23627 23772 23917 24062 24207 24352 24497 24642 24787 24932
## [36349] 25077 25222 25367 25512 25657 25802 25947 26092 26237 26382 26527 26672
## [36361] 26817 26962 27107 27252 27397 27542 27687 27832 27977 28122 28267 28412
## [36373] 28557 28702 28847 28992 29137 29282 29427 29572 29717 29862 30007 30152
## [36385] 30297 30442 30587 30732 30877 31022 31167 31312 31457 31602 31747 31892
## [36397] 32037 32182 32327 32472 32617 32762 32907 33052 33197 33342 33487 33632
## [36409] 33777 33922 34067 34212 34357 34502 34647 34792 34937 35082 35227 35372
## [36421] 35517 35662 35807 35952 36097 36242 36387 36532 36677 36822 36967 37112
## [36433] 37257 37402 37547 37692 37837 37982 38127 38272 38417 38562 138 283
## [36445] 428 573 718 863 1008 1153 1298 1443 1588 1733 1878 2023
## [36457] 2168 2313 2458 2603 2748 2893 3038 3183 3328 3473 3618 3763
## [36469] 3908 4053 4198 4343 4488 4633 4778 4923 5068 5213 5358 5503
## [36481] 5648 5793 5938 6083 6228 6373 6518 6663 6808 6953 7098 7243
## [36493] 7388 7533 7678 7823 7968 8113 8258 8403 8548 8693 8838 8983
## [36505] 9128 9273 9418 9563 9708 9853 9998 10143 10288 10433 10578 10723
## [36517] 10868 11013 11158 11303 11448 11593 11738 11883 12028 12173 12318 12463
## [36529] 12608 12753 12898 13043 13188 13333 13478 13623 13768 13913 14058 14203
## [36541] 14348 14493 14638 14783 14928 15073 15218 15363 15508 15653 15798 15943
## [36553] 16088 16233 16378 16523 16668 16813 16958 17103 17248 17393 17538 17683
## [36565] 17828 17973 18118 18263 18408 18553 18698 18843 18988 19133 19278 19423
## [36577] 19568 19713 19858 20003 20148 20293 20438 20583 20728 20873 21018 21163
## [36589] 21308 21453 21598 21743 21888 22033 22178 22323 22468 22613 22758 22903
## [36601] 23048 23193 23338 23483 23628 23773 23918 24063 24208 24353 24498 24643
## [36613] 24788 24933 25078 25223 25368 25513 25658 25803 25948 26093 26238 26383
## [36625] 26528 26673 26818 26963 27108 27253 27398 27543 27688 27833 27978 28123
## [36637] 28268 28413 28558 28703 28848 28993 29138 29283 29428 29573 29718 29863
## [36649] 30008 30153 30298 30443 30588 30733 30878 31023 31168 31313 31458 31603
## [36661] 31748 31893 32038 32183 32328 32473 32618 32763 32908 33053 33198 33343
## [36673] 33488 33633 33778 33923 34068 34213 34358 34503 34648 34793 34938 35083
## [36685] 35228 35373 35518 35663 35808 35953 36098 36243 36388 36533 36678 36823
## [36697] 36968 37113 37258 37403 37548 37693 37838 37983 38128 38273 38418 38563
## [36709] 139 284 429 574 719 864 1009 1154 1299 1444 1589 1734
## [36721] 1879 2024 2169 2314 2459 2604 2749 2894 3039 3184 3329 3474
## [36733] 3619 3764 3909 4054 4199 4344 4489 4634 4779 4924 5069 5214
## [36745] 5359 5504 5649 5794 5939 6084 6229 6374 6519 6664 6809 6954
## [36757] 7099 7244 7389 7534 7679 7824 7969 8114 8259 8404 8549 8694
## [36769] 8839 8984 9129 9274 9419 9564 9709 9854 9999 10144 10289 10434
## [36781] 10579 10724 10869 11014 11159 11304 11449 11594 11739 11884 12029 12174
## [36793] 12319 12464 12609 12754 12899 13044 13189 13334 13479 13624 13769 13914
## [36805] 14059 14204 14349 14494 14639 14784 14929 15074 15219 15364 15509 15654
## [36817] 15799 15944 16089 16234 16379 16524 16669 16814 16959 17104 17249 17394
## [36829] 17539 17684 17829 17974 18119 18264 18409 18554 18699 18844 18989 19134
## [36841] 19279 19424 19569 19714 19859 20004 20149 20294 20439 20584 20729 20874
## [36853] 21019 21164 21309 21454 21599 21744 21889 22034 22179 22324 22469 22614
## [36865] 22759 22904 23049 23194 23339 23484 23629 23774 23919 24064 24209 24354
## [36877] 24499 24644 24789 24934 25079 25224 25369 25514 25659 25804 25949 26094
## [36889] 26239 26384 26529 26674 26819 26964 27109 27254 27399 27544 27689 27834
## [36901] 27979 28124 28269 28414 28559 28704 28849 28994 29139 29284 29429 29574
## [36913] 29719 29864 30009 30154 30299 30444 30589 30734 30879 31024 31169 31314
## [36925] 31459 31604 31749 31894 32039 32184 32329 32474 32619 32764 32909 33054
## [36937] 33199 33344 33489 33634 33779 33924 34069 34214 34359 34504 34649 34794
## [36949] 34939 35084 35229 35374 35519 35664 35809 35954 36099 36244 36389 36534
## [36961] 36679 36824 36969 37114 37259 37404 37549 37694 37839 37984 38129 38274
## [36973] 38419 38564 140 285 430 575 720 865 1010 1155 1300 1445
## [36985] 1590 1735 1880 2025 2170 2315 2460 2605 2750 2895 3040 3185
## [36997] 3330 3475 3620 3765 3910 4055 4200 4345 4490 4635 4780 4925
## [37009] 5070 5215 5360 5505 5650 5795 5940 6085 6230 6375 6520 6665
## [37021] 6810 6955 7100 7245 7390 7535 7680 7825 7970 8115 8260 8405
## [37033] 8550 8695 8840 8985 9130 9275 9420 9565 9710 9855 10000 10145
## [37045] 10290 10435 10580 10725 10870 11015 11160 11305 11450 11595 11740 11885
## [37057] 12030 12175 12320 12465 12610 12755 12900 13045 13190 13335 13480 13625
## [37069] 13770 13915 14060 14205 14350 14495 14640 14785 14930 15075 15220 15365
## [37081] 15510 15655 15800 15945 16090 16235 16380 16525 16670 16815 16960 17105
## [37093] 17250 17395 17540 17685 17830 17975 18120 18265 18410 18555 18700 18845
## [37105] 18990 19135 19280 19425 19570 19715 19860 20005 20150 20295 20440 20585
## [37117] 20730 20875 21020 21165 21310 21455 21600 21745 21890 22035 22180 22325
## [37129] 22470 22615 22760 22905 23050 23195 23340 23485 23630 23775 23920 24065
## [37141] 24210 24355 24500 24645 24790 24935 25080 25225 25370 25515 25660 25805
## [37153] 25950 26095 26240 26385 26530 26675 26820 26965 27110 27255 27400 27545
## [37165] 27690 27835 27980 28125 28270 28415 28560 28705 28850 28995 29140 29285
## [37177] 29430 29575 29720 29865 30010 30155 30300 30445 30590 30735 30880 31025
## [37189] 31170 31315 31460 31605 31750 31895 32040 32185 32330 32475 32620 32765
## [37201] 32910 33055 33200 33345 33490 33635 33780 33925 34070 34215 34360 34505
## [37213] 34650 34795 34940 35085 35230 35375 35520 35665 35810 35955 36100 36245
## [37225] 36390 36535 36680 36825 36970 37115 37260 37405 37550 37695 37840 37985
## [37237] 38130 38275 38420 38565 141 286 431 576 721 866 1011 1156
## [37249] 1301 1446 1591 1736 1881 2026 2171 2316 2461 2606 2751 2896
## [37261] 3041 3186 3331 3476 3621 3766 3911 4056 4201 4346 4491 4636
## [37273] 4781 4926 5071 5216 5361 5506 5651 5796 5941 6086 6231 6376
## [37285] 6521 6666 6811 6956 7101 7246 7391 7536 7681 7826 7971 8116
## [37297] 8261 8406 8551 8696 8841 8986 9131 9276 9421 9566 9711 9856
## [37309] 10001 10146 10291 10436 10581 10726 10871 11016 11161 11306 11451 11596
## [37321] 11741 11886 12031 12176 12321 12466 12611 12756 12901 13046 13191 13336
## [37333] 13481 13626 13771 13916 14061 14206 14351 14496 14641 14786 14931 15076
## [37345] 15221 15366 15511 15656 15801 15946 16091 16236 16381 16526 16671 16816
## [37357] 16961 17106 17251 17396 17541 17686 17831 17976 18121 18266 18411 18556
## [37369] 18701 18846 18991 19136 19281 19426 19571 19716 19861 20006 20151 20296
## [37381] 20441 20586 20731 20876 21021 21166 21311 21456 21601 21746 21891 22036
## [37393] 22181 22326 22471 22616 22761 22906 23051 23196 23341 23486 23631 23776
## [37405] 23921 24066 24211 24356 24501 24646 24791 24936 25081 25226 25371 25516
## [37417] 25661 25806 25951 26096 26241 26386 26531 26676 26821 26966 27111 27256
## [37429] 27401 27546 27691 27836 27981 28126 28271 28416 28561 28706 28851 28996
## [37441] 29141 29286 29431 29576 29721 29866 30011 30156 30301 30446 30591 30736
## [37453] 30881 31026 31171 31316 31461 31606 31751 31896 32041 32186 32331 32476
## [37465] 32621 32766 32911 33056 33201 33346 33491 33636 33781 33926 34071 34216
## [37477] 34361 34506 34651 34796 34941 35086 35231 35376 35521 35666 35811 35956
## [37489] 36101 36246 36391 36536 36681 36826 36971 37116 37261 37406 37551 37696
## [37501] 37841 37986 38131 38276 38421 38566 142 287 432 577 722 867
## [37513] 1012 1157 1302 1447 1592 1737 1882 2027 2172 2317 2462 2607
## [37525] 2752 2897 3042 3187 3332 3477 3622 3767 3912 4057 4202 4347
## [37537] 4492 4637 4782 4927 5072 5217 5362 5507 5652 5797 5942 6087
## [37549] 6232 6377 6522 6667 6812 6957 7102 7247 7392 7537 7682 7827
## [37561] 7972 8117 8262 8407 8552 8697 8842 8987 9132 9277 9422 9567
## [37573] 9712 9857 10002 10147 10292 10437 10582 10727 10872 11017 11162 11307
## [37585] 11452 11597 11742 11887 12032 12177 12322 12467 12612 12757 12902 13047
## [37597] 13192 13337 13482 13627 13772 13917 14062 14207 14352 14497 14642 14787
## [37609] 14932 15077 15222 15367 15512 15657 15802 15947 16092 16237 16382 16527
## [37621] 16672 16817 16962 17107 17252 17397 17542 17687 17832 17977 18122 18267
## [37633] 18412 18557 18702 18847 18992 19137 19282 19427 19572 19717 19862 20007
## [37645] 20152 20297 20442 20587 20732 20877 21022 21167 21312 21457 21602 21747
## [37657] 21892 22037 22182 22327 22472 22617 22762 22907 23052 23197 23342 23487
## [37669] 23632 23777 23922 24067 24212 24357 24502 24647 24792 24937 25082 25227
## [37681] 25372 25517 25662 25807 25952 26097 26242 26387 26532 26677 26822 26967
## [37693] 27112 27257 27402 27547 27692 27837 27982 28127 28272 28417 28562 28707
## [37705] 28852 28997 29142 29287 29432 29577 29722 29867 30012 30157 30302 30447
## [37717] 30592 30737 30882 31027 31172 31317 31462 31607 31752 31897 32042 32187
## [37729] 32332 32477 32622 32767 32912 33057 33202 33347 33492 33637 33782 33927
## [37741] 34072 34217 34362 34507 34652 34797 34942 35087 35232 35377 35522 35667
## [37753] 35812 35957 36102 36247 36392 36537 36682 36827 36972 37117 37262 37407
## [37765] 37552 37697 37842 37987 38132 38277 38422 38567 143 288 433 578
## [37777] 723 868 1013 1158 1303 1448 1593 1738 1883 2028 2173 2318
## [37789] 2463 2608 2753 2898 3043 3188 3333 3478 3623 3768 3913 4058
## [37801] 4203 4348 4493 4638 4783 4928 5073 5218 5363 5508 5653 5798
## [37813] 5943 6088 6233 6378 6523 6668 6813 6958 7103 7248 7393 7538
## [37825] 7683 7828 7973 8118 8263 8408 8553 8698 8843 8988 9133 9278
## [37837] 9423 9568 9713 9858 10003 10148 10293 10438 10583 10728 10873 11018
## [37849] 11163 11308 11453 11598 11743 11888 12033 12178 12323 12468 12613 12758
## [37861] 12903 13048 13193 13338 13483 13628 13773 13918 14063 14208 14353 14498
## [37873] 14643 14788 14933 15078 15223 15368 15513 15658 15803 15948 16093 16238
## [37885] 16383 16528 16673 16818 16963 17108 17253 17398 17543 17688 17833 17978
## [37897] 18123 18268 18413 18558 18703 18848 18993 19138 19283 19428 19573 19718
## [37909] 19863 20008 20153 20298 20443 20588 20733 20878 21023 21168 21313 21458
## [37921] 21603 21748 21893 22038 22183 22328 22473 22618 22763 22908 23053 23198
## [37933] 23343 23488 23633 23778 23923 24068 24213 24358 24503 24648 24793 24938
## [37945] 25083 25228 25373 25518 25663 25808 25953 26098 26243 26388 26533 26678
## [37957] 26823 26968 27113 27258 27403 27548 27693 27838 27983 28128 28273 28418
## [37969] 28563 28708 28853 28998 29143 29288 29433 29578 29723 29868 30013 30158
## [37981] 30303 30448 30593 30738 30883 31028 31173 31318 31463 31608 31753 31898
## [37993] 32043 32188 32333 32478 32623 32768 32913 33058 33203 33348 33493 33638
## [38005] 33783 33928 34073 34218 34363 34508 34653 34798 34943 35088 35233 35378
## [38017] 35523 35668 35813 35958 36103 36248 36393 36538 36683 36828 36973 37118
## [38029] 37263 37408 37553 37698 37843 37988 38133 38278 38423 38568 144 289
## [38041] 434 579 724 869 1014 1159 1304 1449 1594 1739 1884 2029
## [38053] 2174 2319 2464 2609 2754 2899 3044 3189 3334 3479 3624 3769
## [38065] 3914 4059 4204 4349 4494 4639 4784 4929 5074 5219 5364 5509
## [38077] 5654 5799 5944 6089 6234 6379 6524 6669 6814 6959 7104 7249
## [38089] 7394 7539 7684 7829 7974 8119 8264 8409 8554 8699 8844 8989
## [38101] 9134 9279 9424 9569 9714 9859 10004 10149 10294 10439 10584 10729
## [38113] 10874 11019 11164 11309 11454 11599 11744 11889 12034 12179 12324 12469
## [38125] 12614 12759 12904 13049 13194 13339 13484 13629 13774 13919 14064 14209
## [38137] 14354 14499 14644 14789 14934 15079 15224 15369 15514 15659 15804 15949
## [38149] 16094 16239 16384 16529 16674 16819 16964 17109 17254 17399 17544 17689
## [38161] 17834 17979 18124 18269 18414 18559 18704 18849 18994 19139 19284 19429
## [38173] 19574 19719 19864 20009 20154 20299 20444 20589 20734 20879 21024 21169
## [38185] 21314 21459 21604 21749 21894 22039 22184 22329 22474 22619 22764 22909
## [38197] 23054 23199 23344 23489 23634 23779 23924 24069 24214 24359 24504 24649
## [38209] 24794 24939 25084 25229 25374 25519 25664 25809 25954 26099 26244 26389
## [38221] 26534 26679 26824 26969 27114 27259 27404 27549 27694 27839 27984 28129
## [38233] 28274 28419 28564 28709 28854 28999 29144 29289 29434 29579 29724 29869
## [38245] 30014 30159 30304 30449 30594 30739 30884 31029 31174 31319 31464 31609
## [38257] 31754 31899 32044 32189 32334 32479 32624 32769 32914 33059 33204 33349
## [38269] 33494 33639 33784 33929 34074 34219 34364 34509 34654 34799 34944 35089
## [38281] 35234 35379 35524 35669 35814 35959 36104 36249 36394 36539 36684 36829
## [38293] 36974 37119 37264 37409 37554 37699 37844 37989 38134 38279 38424 38569
## [38305] 145 290 435 580 725 870 1015 1160 1305 1450 1595 1740
## [38317] 1885 2030 2175 2320 2465 2610 2755 2900 3045 3190 3335 3480
## [38329] 3625 3770 3915 4060 4205 4350 4495 4640 4785 4930 5075 5220
## [38341] 5365 5510 5655 5800 5945 6090 6235 6380 6525 6670 6815 6960
## [38353] 7105 7250 7395 7540 7685 7830 7975 8120 8265 8410 8555 8700
## [38365] 8845 8990 9135 9280 9425 9570 9715 9860 10005 10150 10295 10440
## [38377] 10585 10730 10875 11020 11165 11310 11455 11600 11745 11890 12035 12180
## [38389] 12325 12470 12615 12760 12905 13050 13195 13340 13485 13630 13775 13920
## [38401] 14065 14210 14355 14500 14645 14790 14935 15080 15225 15370 15515 15660
## [38413] 15805 15950 16095 16240 16385 16530 16675 16820 16965 17110 17255 17400
## [38425] 17545 17690 17835 17980 18125 18270 18415 18560 18705 18850 18995 19140
## [38437] 19285 19430 19575 19720 19865 20010 20155 20300 20445 20590 20735 20880
## [38449] 21025 21170 21315 21460 21605 21750 21895 22040 22185 22330 22475 22620
## [38461] 22765 22910 23055 23200 23345 23490 23635 23780 23925 24070 24215 24360
## [38473] 24505 24650 24795 24940 25085 25230 25375 25520 25665 25810 25955 26100
## [38485] 26245 26390 26535 26680 26825 26970 27115 27260 27405 27550 27695 27840
## [38497] 27985 28130 28275 28420 28565 28710 28855 29000 29145 29290 29435 29580
## [38509] 29725 29870 30015 30160 30305 30450 30595 30740 30885 31030 31175 31320
## [38521] 31465 31610 31755 31900 32045 32190 32335 32480 32625 32770 32915 33060
## [38533] 33205 33350 33495 33640 33785 33930 34075 34220 34365 34510 34655 34800
## [38545] 34945 35090 35235 35380 35525 35670 35815 35960 36105 36250 36395 36540
## [38557] 36685 36830 36975 37120 37265 37410 37555 37700 37845 37990 38135 38280
## [38569] 38425 38570
# I then merge the cleaned deceased and confirmed datasets.
Merged_Data <- cbind(Confirmed_Long, Deceased_Long)
colnames(Merged_Data)
## [1] "Province/State" "Country/Region" "Lat" "Long"
## [5] "Dates" "Confirmed_Cases" "COUNTRY" "Date"
## [9] "Province/State" "Country/Region" "Lat" "Long"
## [13] "Dates" "Deceased" "COUNTRY" "Date"
# I only keep the variables we are interested in.
myvars <- c("COUNTRY", "Province/State", "Lat", "Long", "Dates", "Confirmed_Cases", "Date", "Deceased")
# I rename this file as our temporary data.
Temporary_Data_Country <- Merged_Data[myvars]
# We might also want a dataset with the total number of global confirmed cases and deaths per day.
World_Data <- Temporary_Data_Country %>% group_by(Date) %>%
summarise(country='World', Global_Confirmed_Cases = sum(Confirmed_Cases, na.rm=T),
Global_Deceased = sum(Deceased, na.rm=T))
World_Data$Death_Rate <- ((World_Data$Global_Deceased/World_Data$Global_Confirmed_Cases) * 100)
# Here, I subset the data so as to properly collapse by country.
myvarstemporary <- c("COUNTRY", "Date", "Confirmed_Cases", "Deceased")
Temporary_Data_Country <- Temporary_Data_Country[myvarstemporary]
Temporary_Data_Country <- Temporary_Data_Country %>%
group_by(COUNTRY, Date) %>%
summarise(Total_Cases_Country = sum(Confirmed_Cases), Total_Deceased_Country = sum(Deceased))
# I next want to calculate the increase in deaths and confirmed cases per day.
Temporary_Data_Country %>%
arrange(COUNTRY, Date)
## # A tibble: 27,260 x 4
## # Groups: COUNTRY [188]
## COUNTRY Date Total_Cases_Country Total_Deceased_Country
## <chr> <date> <dbl> <dbl>
## 1 Afghanistan 2020-01-22 0 0
## 2 Afghanistan 2020-01-23 0 0
## 3 Afghanistan 2020-01-24 0 0
## 4 Afghanistan 2020-01-25 0 0
## 5 Afghanistan 2020-01-26 0 0
## 6 Afghanistan 2020-01-27 0 0
## 7 Afghanistan 2020-01-28 0 0
## 8 Afghanistan 2020-01-29 0 0
## 9 Afghanistan 2020-01-30 0 0
## 10 Afghanistan 2020-01-31 0 0
## # … with 27,250 more rows
number <- nrow(Temporary_Data_Country)
First_Day <- min(Temporary_Data_Country$Date)
Temporary_Data_Country$New_Confirmed_Country <- ifelse(Temporary_Data_Country$Date == First_Day, NA, Temporary_Data_Country$Total_Cases_Country - dplyr::lag(Temporary_Data_Country$Total_Cases_Country, number=1))
Temporary_Data_Country$New_Total_Deceased_Country <- ifelse(Temporary_Data_Country$Date == First_Day, NA, Temporary_Data_Country$Total_Deceased_Country - dplyr::lag(Temporary_Data_Country$Total_Deceased_Country, number=1))
# There are a few values for which we have negative new deaths and new cases. Intuitively, this shouldn't make sense. This is actually a problem which steps from the COVID data. For example, Iceland has some weird values in the initial dataframe. Although deaths should represent cumulative sums, if we observe the data from 3/15 - 4/05, we note that the number of recorded deaths drops from 5 to 0, then increases back to six as the month progresses. This is a well-documented problem which stems from the original Github data: https://github.com/CSSEGISandData/COVID-19/issues/2379; https://github.com/CSSEGISandData/COVID-19/issues/2165. We can either exclude data points which show a decrease in cumulative deaths (which I haven't done here); or wait for the data to be updated. Because we only drop a few observations from the analysis, I choose to exclude them, and proceed as normal. Note that when we take global sums, this will affect our cumulative totals (as we have excluded observations for certain nations on certain days).
Temporary_Data_Country <- Temporary_Data_Country[which(Temporary_Data_Country$New_Confirmed_Country >= 0),]
Temporary_Data_Country <- Temporary_Data_Country[which(Temporary_Data_Country$New_Total_Deceased_Country >= 0),]
# Now, I calculate the total mortality rate per capita, new mortality rate per capita, death rate per capita, and confirmed cases per capita (using data from the United Nations on global demographics for the merge).
UN_Population <- read_csv("data/UN_Population_Data.csv")
## Parsed with column specification:
## cols(
## Location = col_character(),
## Population = col_double()
## )
UN_Population$COUNTRY <- UN_Population$Location
UN_Population[25, "COUNTRY"] <- "Bolivia"
UN_Population[30, "COUNTRY"] <- "Brunei"
UN_Population[43, "COUNTRY"] <- "Taiwan*"
UN_Population[46, "COUNTRY"] <- "Congo (Brazzaville)"
UN_Population[54, "COUNTRY"] <-"Cote d'Ivoire"
UN_Population[56, "COUNTRY"] <- "Congo (Kinshasa)"
UN_Population[98, "COUNTRY"] <- "Iran"
UN_Population[112, "COUNTRY"] <- "Laos"
UN_Population[138, "COUNTRY"] <- "Burma"
UN_Population[162, "COUNTRY"] <- "Korea, South"
UN_Population[163, "COUNTRY"] <- "Moldova"
UN_Population[165, "COUNTRY"] <- "Russia"
UN_Population[196, "COUNTRY"] <- "Syria"
UN_Population[212, "COUNTRY"] <- "Tanzania"
UN_Population[213, "COUNTRY"] <- "US"
UN_Population[217, "COUNTRY"] <- "Venezuela"
UN_Population[218, "COUNTRY"] <- "Vietnam"
# I subset the file to only include the nations in our final data.
UN_Population <- subset(UN_Population, is.element(UN_Population$COUNTRY, Temporary_Data_Country$COUNTRY))
# Lastly, I join the two dataframes. Note, we lose some observations using inner join (Western Sahara, West Bank and Gaza, MS Zaandam, Kosovo, Diamond Princess, and the Central African Republic.). However, we are not interested in these nations for the purposes of our sample.
Temporary_Data_Country <- inner_join(Temporary_Data_Country, UN_Population)
## Joining, by = "COUNTRY"
# This allows me to calculate our variable of interest: the mortality rate per capita (for both total deaths, and new deaths).
Temporary_Data_Country$Total_Mortality_Rate_Per_Capita = (Temporary_Data_Country$Total_Deceased_Country / Temporary_Data_Country$Population)
Temporary_Data_Country$New_Mortality_Rate_Per_Capita = (Temporary_Data_Country$New_Total_Deceased_Country / Temporary_Data_Country$Population)
# We might also be interested in cases per capita.
Temporary_Data_Country$Total_Cases_Country_Per_Capita = (Temporary_Data_Country$Total_Cases_Country / Temporary_Data_Country$Population)
# Lastly, I want to create a rolling average of the total and new mortality rates per capita, new confirmed cases, and new deaths. This is a bit complicated, so bear with me.
# First, I order the data by country and date.
Temporary_Data_Country <- Temporary_Data_Country[order(Temporary_Data_Country$COUNTRY, Temporary_Data_Country$Date),]
# I then construct a seven-day rolling average of confirmed cases, deaths, and both types of mortality rates by country.
Temporary_Data_Country <- Temporary_Data_Country %>%
group_by(COUNTRY) %>%
mutate(rolling_average_confirmed = frollmean(New_Confirmed_Country, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
group_by(COUNTRY) %>%
mutate(rolling_average_deceased= frollmean(New_Total_Deceased_Country, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
group_by(COUNTRY) %>%
mutate(total_rolling_average_mortality = frollmean(Total_Mortality_Rate_Per_Capita, 7))
Temporary_Data_Country <- Temporary_Data_Country %>%
group_by(COUNTRY) %>%
mutate(new_rolling_average_mortality = frollmean(New_Mortality_Rate_Per_Capita, 7))
# The seven-day rolling average works well, but the algorithm only gives an output after the first week (as we need seven prior values for the sake of our calculation). Ideally, we would want these missing values to have their own rolling averages (i.e. a rolling average of two days for the second date in our dataset; or a rolling average of five days for the fifth date). To do this, I first create a new dataframe with our missing values from the initial seven-day rolling average.
Missing_Mean_Confirmed <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$rolling_average_confirmed)), ]
Missing_Mean_Total_Deceased_Country <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$rolling_average_deceased)), ]
Missing_Mean_Total_Mortality <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$total_rolling_average_mortality)), ]
Missing_Mean_New_Mortality <- Temporary_Data_Country[which(is.na(Temporary_Data_Country$new_rolling_average_mortality)), ]
# Next, I calculate a "new" rolling average for each of our nations, using the roll apply function. The syntax is complicated; but essentially this command allows the user the freedom to vary rolling averages by different "windows" of dates (i.e. three-day average vs. six-day average).
Missing_Mean_Confirmed <- Missing_Mean_Confirmed %>%
group_by(COUNTRY) %>%
mutate(rolling_average_confirmed2 = rollapply(New_Confirmed_Country, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_Total_Deceased_Country <- Missing_Mean_Total_Deceased_Country %>%
group_by(COUNTRY) %>%
mutate(rolling_average_deceased2 = rollapply(New_Total_Deceased_Country, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_Total_Mortality <- Missing_Mean_Total_Mortality %>%
group_by(COUNTRY) %>%
mutate(total_rolling_average_mortality2 = rollapply(Total_Mortality_Rate_Per_Capita, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
Missing_Mean_New_Mortality <- Missing_Mean_New_Mortality %>%
group_by(COUNTRY) %>%
mutate(new_rolling_average_mortality2 = rollapply(New_Mortality_Rate_Per_Capita, 6, mean, na.rm = TRUE, fill = NA, align = 'right', partial=TRUE))
# We now want to merge this data back to our temporary file.
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Confirmed, by = c("COUNTRY", "Date"), all=TRUE)
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Total_Deceased_Country, by = c("COUNTRY", "Date"), all=TRUE)
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_Total_Mortality, by = c("COUNTRY", "Date"), all=TRUE)
## Warning in merge.data.frame(Temporary_Data_Country,
## Missing_Mean_Total_Mortality, : column names 'Total_Cases_Country.x',
## 'Total_Deceased_Country.x', 'New_Confirmed_Country.x',
## 'New_Total_Deceased_Country.x', 'Location.x', 'Population.x',
## 'Total_Mortality_Rate_Per_Capita.x', 'New_Mortality_Rate_Per_Capita.x',
## 'Total_Cases_Country_Per_Capita.x', 'rolling_average_confirmed.x',
## 'rolling_average_deceased.x', 'total_rolling_average_mortality.x',
## 'new_rolling_average_mortality.x', 'Total_Cases_Country.y',
## 'Total_Deceased_Country.y', 'New_Confirmed_Country.y',
## 'New_Total_Deceased_Country.y', 'Location.y', 'Population.y',
## 'Total_Mortality_Rate_Per_Capita.y', 'New_Mortality_Rate_Per_Capita.y',
## 'Total_Cases_Country_Per_Capita.y', 'rolling_average_confirmed.y',
## 'rolling_average_deceased.y', 'total_rolling_average_mortality.y',
## 'new_rolling_average_mortality.y' are duplicated in the result
Temporary_Data_Country <- merge(Temporary_Data_Country, Missing_Mean_New_Mortality, by = c("COUNTRY", "Date"), all=TRUE)
## Warning in merge.data.frame(Temporary_Data_Country,
## Missing_Mean_New_Mortality, : column names 'Total_Cases_Country.x',
## 'Total_Deceased_Country.x', 'New_Confirmed_Country.x',
## 'New_Total_Deceased_Country.x', 'Location.x', 'Population.x',
## 'Total_Mortality_Rate_Per_Capita.x', 'New_Mortality_Rate_Per_Capita.x',
## 'Total_Cases_Country_Per_Capita.x', 'rolling_average_confirmed.x',
## 'rolling_average_deceased.x', 'total_rolling_average_mortality.x',
## 'new_rolling_average_mortality.x', 'Total_Cases_Country.y',
## 'Total_Deceased_Country.y', 'New_Confirmed_Country.y',
## 'New_Total_Deceased_Country.y', 'Location.y', 'Population.y',
## 'Total_Mortality_Rate_Per_Capita.y', 'New_Mortality_Rate_Per_Capita.y',
## 'Total_Cases_Country_Per_Capita.y', 'rolling_average_confirmed.y',
## 'rolling_average_deceased.y', 'total_rolling_average_mortality.y',
## 'new_rolling_average_mortality.y' are duplicated in the result
# Lastly, we can replace the missing values in our temporary file (for the confirmed rolling averages prior to one week) with the newly calculated "partial" rolling averages. We then replace all missing values with zero (the only missing values which remain are for our first day, when naturally no new cases will be recorded, or, in the case of our rolling average for the mortality rate, for dates in which we don't yet have a recorded case).
Temporary_Data_Country$rolling_average_confirmed.x[is.na(Temporary_Data_Country$rolling_average_confirmed.x)] <- Temporary_Data_Country$rolling_average_confirmed2[is.na(Temporary_Data_Country$rolling_average_confirmed.x)]
Temporary_Data_Country$rolling_average_confirmed.x[is.na(Temporary_Data_Country$rolling_average_confirmed.x)] <- 0
Temporary_Data_Country$rolling_average_confirmed <- Temporary_Data_Country$rolling_average_confirmed.x
Temporary_Data_Country$rolling_average_deceased.x[is.na(Temporary_Data_Country$rolling_average_deceased.x)] <- Temporary_Data_Country$rolling_average_deceased2[is.na(Temporary_Data_Country$rolling_average_deceased.x)]
Temporary_Data_Country$rolling_average_deceased.x[is.na(Temporary_Data_Country$rolling_average_deceased.x)] <- 0
Temporary_Data_Country$rolling_average_deceased <- Temporary_Data_Country$rolling_average_deceased.x
Temporary_Data_Country$total_rolling_average_mortality.x[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)] <- Temporary_Data_Country$total_rolling_average_mortality2[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)]
Temporary_Data_Country$total_rolling_average_mortality.x[is.na(Temporary_Data_Country$total_rolling_average_mortality.x)] <- 0
Temporary_Data_Country$total_rolling_average_mortality <- Temporary_Data_Country$total_rolling_average_mortality.x
Temporary_Data_Country$new_rolling_average_mortality.x[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)] <- Temporary_Data_Country$new_rolling_average_mortality2[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)]
Temporary_Data_Country$new_rolling_average_mortality.x[is.na(Temporary_Data_Country$new_rolling_average_mortality.x)] <- 0
Temporary_Data_Country$new_rolling_average_mortality <- Temporary_Data_Country$new_rolling_average_mortality.x
# I only keep columns we care about (which are not repetitive).
Temporary_Data_Country$Total_Cases_Country <- Temporary_Data_Country$Total_Cases_Country.x
Temporary_Data_Country$Total_Deceased_Country <- Temporary_Data_Country$Total_Deceased_Country.x
Temporary_Data_Country$New_Confirmed_Country <- Temporary_Data_Country$New_Confirmed_Country.x
Temporary_Data_Country$New_Total_Deceased_Country <- Temporary_Data_Country$New_Total_Deceased_Country.x
Temporary_Data_Country$Death_Rate <- Temporary_Data_Country$Death_Rate.x
Temporary_Data_Country$Total_Mortality_Rate_Per_Capita <- Temporary_Data_Country$Total_Mortality_Rate_Per_Capita.x
Temporary_Data_Country$New_Mortality_Rate_Per_Capita <- Temporary_Data_Country$New_Mortality_Rate_Per_Capita.x
Temporary_Data_Country$Location <- Temporary_Data_Country$Location.x
Temporary_Data_Country$Population <- Temporary_Data_Country$Population.x
Temporary_Data_Country$Total_Cases_Country_Per_Capita <- Temporary_Data_Country$Total_Cases_Country_Per_Capita.x
Temporary_Data_Country$rolling_average_confirmed <- Temporary_Data_Country$rolling_average_confirmed.x
Temporary_Data_Country$rolling_average_deceased <- Temporary_Data_Country$rolling_average_deceased.x
Temporary_Data_Country$total_rolling_average_mortality <- Temporary_Data_Country$total_rolling_average_mortality.x
Temporary_Data_Country$new_rolling_average_mortality <- Temporary_Data_Country$new_rolling_average_mortality.x
colnames(Temporary_Data_Country)
## [1] "COUNTRY" "Date"
## [3] "Total_Cases_Country.x" "Total_Deceased_Country.x"
## [5] "New_Confirmed_Country.x" "New_Total_Deceased_Country.x"
## [7] "Location.x" "Population.x"
## [9] "Total_Mortality_Rate_Per_Capita.x" "New_Mortality_Rate_Per_Capita.x"
## [11] "Total_Cases_Country_Per_Capita.x" "rolling_average_confirmed.x"
## [13] "rolling_average_deceased.x" "total_rolling_average_mortality.x"
## [15] "new_rolling_average_mortality.x" "Total_Cases_Country.y"
## [17] "Total_Deceased_Country.y" "New_Confirmed_Country.y"
## [19] "New_Total_Deceased_Country.y" "Location.y"
## [21] "Population.y" "Total_Mortality_Rate_Per_Capita.y"
## [23] "New_Mortality_Rate_Per_Capita.y" "Total_Cases_Country_Per_Capita.y"
## [25] "rolling_average_confirmed.y" "rolling_average_deceased.y"
## [27] "total_rolling_average_mortality.y" "new_rolling_average_mortality.y"
## [29] "rolling_average_confirmed2" "Total_Cases_Country.x"
## [31] "Total_Deceased_Country.x" "New_Confirmed_Country.x"
## [33] "New_Total_Deceased_Country.x" "Location.x"
## [35] "Population.x" "Total_Mortality_Rate_Per_Capita.x"
## [37] "New_Mortality_Rate_Per_Capita.x" "Total_Cases_Country_Per_Capita.x"
## [39] "rolling_average_confirmed.x" "rolling_average_deceased.x"
## [41] "total_rolling_average_mortality.x" "new_rolling_average_mortality.x"
## [43] "rolling_average_deceased2" "Total_Cases_Country.y"
## [45] "Total_Deceased_Country.y" "New_Confirmed_Country.y"
## [47] "New_Total_Deceased_Country.y" "Location.y"
## [49] "Population.y" "Total_Mortality_Rate_Per_Capita.y"
## [51] "New_Mortality_Rate_Per_Capita.y" "Total_Cases_Country_Per_Capita.y"
## [53] "rolling_average_confirmed.y" "rolling_average_deceased.y"
## [55] "total_rolling_average_mortality.y" "new_rolling_average_mortality.y"
## [57] "total_rolling_average_mortality2" "Total_Cases_Country"
## [59] "Total_Deceased_Country" "New_Confirmed_Country"
## [61] "New_Total_Deceased_Country" "Location"
## [63] "Population" "Total_Mortality_Rate_Per_Capita"
## [65] "New_Mortality_Rate_Per_Capita" "Total_Cases_Country_Per_Capita"
## [67] "rolling_average_confirmed" "rolling_average_deceased"
## [69] "total_rolling_average_mortality" "new_rolling_average_mortality"
## [71] "new_rolling_average_mortality2"
myvarstemp <- c("COUNTRY", "Date", "Total_Cases_Country", "Total_Deceased_Country", "New_Confirmed_Country", "New_Total_Deceased_Country", "Population", "Total_Mortality_Rate_Per_Capita", "New_Mortality_Rate_Per_Capita", "Total_Cases_Country_Per_Capita", "rolling_average_confirmed", "rolling_average_deceased", "total_rolling_average_mortality", "new_rolling_average_mortality")
Temporary_Data_Country <- Temporary_Data_Country[myvarstemp]
colnames(Temporary_Data_Country)
## [1] "COUNTRY" "Date"
## [3] "Total_Cases_Country" "Total_Deceased_Country"
## [5] "New_Confirmed_Country" "New_Total_Deceased_Country"
## [7] "Population" "Total_Mortality_Rate_Per_Capita"
## [9] "New_Mortality_Rate_Per_Capita" "Total_Cases_Country_Per_Capita"
## [11] "rolling_average_confirmed" "rolling_average_deceased"
## [13] "total_rolling_average_mortality" "new_rolling_average_mortality"
# When we collapse the COVID data to the country level, we lose our coordinate data. I now merge a dataset on global coordinates by country from: https://developers.google.com/public-data/docs/canonical/countries_csv. Note that I edited country names to match the data in the CSV itself.
Country_Coordinates <- read.csv("data/Country_Coordinates.csv")
Country_Coordinates$COUNTRY <- Country_Coordinates$Country
Country_Coordinates$latitude <- Country_Coordinates$Latitude
Country_Coordinates$longitude <- Country_Coordinates$Longitude
colnames(Country_Coordinates)
## [1] "Latitude" "Longitude" "Country" "COUNTRY" "latitude" "longitude"
myvarscoords <- c("COUNTRY", "latitude", "longitude")
Country_Coordinates <- Country_Coordinates[myvarscoords]
# Lastly, I merge the two dataframes.
Temporary_Data_Country <- merge(Temporary_Data_Country, Country_Coordinates, by = c("COUNTRY"), all=TRUE)
# I load the following two libraries in order to label our variables.
library(lattice)
library(Hmisc)
## Loading required package: survival
##
## Attaching package: 'survival'
## The following object is masked from 'package:caret':
##
## cluster
## Loading required package: Formula
##
## Attaching package: 'Hmisc'
## The following object is masked from 'package:quantmod':
##
## Lag
## The following object is masked from 'package:psych':
##
## describe
## The following objects are masked from 'package:summarytools':
##
## label, label<-
## The following object is masked from 'package:plotly':
##
## subplot
## The following objects are masked from 'package:dplyr':
##
## src, summarize
## The following objects are masked from 'package:base':
##
## format.pval, units
label(Temporary_Data_Country$Total_Cases_Country) <- "Cumulative Sum of Confirmed Cases by Country (John Hopkins)"
label(Temporary_Data_Country$Total_Deceased_Country) <- "Cumulative Sum of Deaths by Country (John Hopkins)"
label(Temporary_Data_Country$New_Confirmed_Country) <- "Daily Increase in Confirmed Cases (John Hopkins)"
label(Temporary_Data_Country$New_Total_Deceased_Country) <- "Daily Increase in Deaths (John Hopkins)"
label(Temporary_Data_Country$Total_Mortality_Rate_Per_Capita) <- "Total Deaths by Population (Total_Deceased_Country/Population)"
label(Temporary_Data_Country$New_Mortality_Rate_Per_Capita) <- "New Deaths by Population (New_Total_Deceased_Country/Population)"
label(Temporary_Data_Country$Total_Cases_Country_Per_Capita) <- "Total Cases by Population (Total_Cases_Country/Population)"
label(Temporary_Data_Country$rolling_average_confirmed) <- "Seven Day Rolling Average of New Confirmed Cases by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$rolling_average_deceased) <- "Seven Day Rolling Average of New Deaths by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$total_rolling_average_mortality) <- "Seven Day Rolling Average of Total Case Mortality Rate by Country (with the exception of Days 1-7)"
label(Temporary_Data_Country$new_rolling_average_mortality) <- "Seven Day Rolling Average of New Case Mortality Rate by Country (with the exception of Days 1-7)"
# Now, I want to merge our temporary data with the Oxford dataset on global policy responses. Please see a description of the variables here: https://www.bsg.ox.ac.uk/sites/default/files/2020-04/BSG-WP-2020-032-v5.0_0.pdf.
# The source is: Hale, Thomas, Anna Petherick, Toby Phillips, Samuel Webster. “Variation in Government Responses to COVID-19” Version 5.0. Blavatnik School of Government Working Paper. April 28, 2020. Available: www.bsg.ox.ac.uk/covidtracker.
# See https://www.bsg.ox.ac.uk/sites/default/files/Calculation%20and%20presentation%20of%20the%20Stringency%20Index.pdf for information on how the stringency index was calculated.
Government_Responses <- read_csv("data/Government_Responses.csv")
## Parsed with column specification:
## cols(
## .default = col_double(),
## CountryName = col_character(),
## CountryCode = col_character(),
## M1_Wildcard = col_logical()
## )
## See spec(...) for full column specifications.
# First, I convert the date to a proper format.
Government_Responses$Date <- ymd(Government_Responses$Date, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
truncated = 0)
order(Government_Responses$Date)
## [1] 1 168 335 502 669 836 1003 1170 1337 1504 1671 1838
## [13] 2005 2172 2339 2506 2673 2840 3007 3174 3341 3508 3675 3842
## [25] 4009 4176 4343 4510 4677 4844 5011 5178 5345 5512 5679 5846
## [37] 6013 6180 6347 6514 6681 6848 7015 7182 7349 7516 7683 7850
## [49] 8017 8184 8351 8518 8685 8852 9019 9186 9353 9520 9687 9854
## [61] 10021 10276 10443 10610 10777 10944 11111 11278 11445 11611 11778 11945
## [73] 12112 12279 12446 12613 12780 12947 13114 13281 13448 13615 13782 13949
## [85] 14116 14283 14450 14617 14784 14951 15118 15285 15452 15619 15786 15953
## [97] 16120 16287 16559 16725 16892 17059 17226 17393 17560 17727 17894 18061
## [109] 18228 18395 18562 18729 18896 19063 19230 19397 19564 19731 19898 20065
## [121] 20232 20399 20566 20733 20900 21067 21234 21401 21568 21735 21902 22069
## [133] 22236 22403 22570 22737 22904 23071 23238 23402 23569 23736 23903 24070
## [145] 24237 24404 24571 24738 24905 25072 25239 25406 25573 25740 25907 26074
## [157] 26234 26401 26568 26735 26902 27069 27236 27403 27570 27737 27904 28071
## [169] 28238 28405 28572 28739 28906 29073 29240 2 169 336 503 670
## [181] 837 1004 1171 1338 1505 1672 1839 2006 2173 2340 2507 2674
## [193] 2841 3008 3175 3342 3509 3676 3843 4010 4177 4344 4511 4678
## [205] 4845 5012 5179 5346 5513 5680 5847 6014 6181 6348 6515 6682
## [217] 6849 7016 7183 7350 7517 7684 7851 8018 8185 8352 8519 8686
## [229] 8853 9020 9187 9354 9521 9688 9855 10022 10277 10444 10611 10778
## [241] 10945 11112 11279 11446 11612 11779 11946 12113 12280 12447 12614 12781
## [253] 12948 13115 13282 13449 13616 13783 13950 14117 14284 14451 14618 14785
## [265] 14952 15119 15286 15453 15620 15787 15954 16121 16288 16560 16726 16893
## [277] 17060 17227 17394 17561 17728 17895 18062 18229 18396 18563 18730 18897
## [289] 19064 19231 19398 19565 19732 19899 20066 20233 20400 20567 20734 20901
## [301] 21068 21235 21402 21569 21736 21903 22070 22237 22404 22571 22738 22905
## [313] 23072 23239 23403 23570 23737 23904 24071 24238 24405 24572 24739 24906
## [325] 25073 25240 25407 25574 25741 25908 26075 26235 26402 26569 26736 26903
## [337] 27070 27237 27404 27571 27738 27905 28072 28239 28406 28573 28740 28907
## [349] 29074 29241 3 170 337 504 671 838 1005 1172 1339 1506
## [361] 1673 1840 2007 2174 2341 2508 2675 2842 3009 3176 3343 3510
## [373] 3677 3844 4011 4178 4345 4512 4679 4846 5013 5180 5347 5514
## [385] 5681 5848 6015 6182 6349 6516 6683 6850 7017 7184 7351 7518
## [397] 7685 7852 8019 8186 8353 8520 8687 8854 9021 9188 9355 9522
## [409] 9689 9856 10023 10278 10445 10612 10779 10946 11113 11280 11447 11613
## [421] 11780 11947 12114 12281 12448 12615 12782 12949 13116 13283 13450 13617
## [433] 13784 13951 14118 14285 14452 14619 14786 14953 15120 15287 15454 15621
## [445] 15788 15955 16122 16289 16561 16727 16894 17061 17228 17395 17562 17729
## [457] 17896 18063 18230 18397 18564 18731 18898 19065 19232 19399 19566 19733
## [469] 19900 20067 20234 20401 20568 20735 20902 21069 21236 21403 21570 21737
## [481] 21904 22071 22238 22405 22572 22739 22906 23073 23240 23404 23571 23738
## [493] 23905 24072 24239 24406 24573 24740 24907 25074 25241 25408 25575 25742
## [505] 25909 26076 26236 26403 26570 26737 26904 27071 27238 27405 27572 27739
## [517] 27906 28073 28240 28407 28574 28741 28908 29075 29242 4 171 338
## [529] 505 672 839 1006 1173 1340 1507 1674 1841 2008 2175 2342
## [541] 2509 2676 2843 3010 3177 3344 3511 3678 3845 4012 4179 4346
## [553] 4513 4680 4847 5014 5181 5348 5515 5682 5849 6016 6183 6350
## [565] 6517 6684 6851 7018 7185 7352 7519 7686 7853 8020 8187 8354
## [577] 8521 8688 8855 9022 9189 9356 9523 9690 9857 10024 10279 10446
## [589] 10613 10780 10947 11114 11281 11448 11614 11781 11948 12115 12282 12449
## [601] 12616 12783 12950 13117 13284 13451 13618 13785 13952 14119 14286 14453
## [613] 14620 14787 14954 15121 15288 15455 15622 15789 15956 16123 16290 16562
## [625] 16728 16895 17062 17229 17396 17563 17730 17897 18064 18231 18398 18565
## [637] 18732 18899 19066 19233 19400 19567 19734 19901 20068 20235 20402 20569
## [649] 20736 20903 21070 21237 21404 21571 21738 21905 22072 22239 22406 22573
## [661] 22740 22907 23074 23241 23405 23572 23739 23906 24073 24240 24407 24574
## [673] 24741 24908 25075 25242 25409 25576 25743 25910 26077 26237 26404 26571
## [685] 26738 26905 27072 27239 27406 27573 27740 27907 28074 28241 28408 28575
## [697] 28742 28909 29076 29243 5 172 339 506 673 840 1007 1174
## [709] 1341 1508 1675 1842 2009 2176 2343 2510 2677 2844 3011 3178
## [721] 3345 3512 3679 3846 4013 4180 4347 4514 4681 4848 5015 5182
## [733] 5349 5516 5683 5850 6017 6184 6351 6518 6685 6852 7019 7186
## [745] 7353 7520 7687 7854 8021 8188 8355 8522 8689 8856 9023 9190
## [757] 9357 9524 9691 9858 10025 10280 10447 10614 10781 10948 11115 11282
## [769] 11449 11615 11782 11949 12116 12283 12450 12617 12784 12951 13118 13285
## [781] 13452 13619 13786 13953 14120 14287 14454 14621 14788 14955 15122 15289
## [793] 15456 15623 15790 15957 16124 16291 16563 16729 16896 17063 17230 17397
## [805] 17564 17731 17898 18065 18232 18399 18566 18733 18900 19067 19234 19401
## [817] 19568 19735 19902 20069 20236 20403 20570 20737 20904 21071 21238 21405
## [829] 21572 21739 21906 22073 22240 22407 22574 22741 22908 23075 23242 23406
## [841] 23573 23740 23907 24074 24241 24408 24575 24742 24909 25076 25243 25410
## [853] 25577 25744 25911 26078 26238 26405 26572 26739 26906 27073 27240 27407
## [865] 27574 27741 27908 28075 28242 28409 28576 28743 28910 29077 29244 6
## [877] 173 340 507 674 841 1008 1175 1342 1509 1676 1843 2010
## [889] 2177 2344 2511 2678 2845 3012 3179 3346 3513 3680 3847 4014
## [901] 4181 4348 4515 4682 4849 5016 5183 5350 5517 5684 5851 6018
## [913] 6185 6352 6519 6686 6853 7020 7187 7354 7521 7688 7855 8022
## [925] 8189 8356 8523 8690 8857 9024 9191 9358 9525 9692 9859 10026
## [937] 10281 10448 10615 10782 10949 11116 11283 11450 11616 11783 11950 12117
## [949] 12284 12451 12618 12785 12952 13119 13286 13453 13620 13787 13954 14121
## [961] 14288 14455 14622 14789 14956 15123 15290 15457 15624 15791 15958 16125
## [973] 16292 16564 16730 16897 17064 17231 17398 17565 17732 17899 18066 18233
## [985] 18400 18567 18734 18901 19068 19235 19402 19569 19736 19903 20070 20237
## [997] 20404 20571 20738 20905 21072 21239 21406 21573 21740 21907 22074 22241
## [1009] 22408 22575 22742 22909 23076 23243 23407 23574 23741 23908 24075 24242
## [1021] 24409 24576 24743 24910 25077 25244 25411 25578 25745 25912 26079 26239
## [1033] 26406 26573 26740 26907 27074 27241 27408 27575 27742 27909 28076 28243
## [1045] 28410 28577 28744 28911 29078 29245 7 174 341 508 675 842
## [1057] 1009 1176 1343 1510 1677 1844 2011 2178 2345 2512 2679 2846
## [1069] 3013 3180 3347 3514 3681 3848 4015 4182 4349 4516 4683 4850
## [1081] 5017 5184 5351 5518 5685 5852 6019 6186 6353 6520 6687 6854
## [1093] 7021 7188 7355 7522 7689 7856 8023 8190 8357 8524 8691 8858
## [1105] 9025 9192 9359 9526 9693 9860 10027 10282 10449 10616 10783 10950
## [1117] 11117 11284 11451 11617 11784 11951 12118 12285 12452 12619 12786 12953
## [1129] 13120 13287 13454 13621 13788 13955 14122 14289 14456 14623 14790 14957
## [1141] 15124 15291 15458 15625 15792 15959 16126 16293 16565 16731 16898 17065
## [1153] 17232 17399 17566 17733 17900 18067 18234 18401 18568 18735 18902 19069
## [1165] 19236 19403 19570 19737 19904 20071 20238 20405 20572 20739 20906 21073
## [1177] 21240 21407 21574 21741 21908 22075 22242 22409 22576 22743 22910 23077
## [1189] 23244 23408 23575 23742 23909 24076 24243 24410 24577 24744 24911 25078
## [1201] 25245 25412 25579 25746 25913 26080 26240 26407 26574 26741 26908 27075
## [1213] 27242 27409 27576 27743 27910 28077 28244 28411 28578 28745 28912 29079
## [1225] 29246 8 175 342 509 676 843 1010 1177 1344 1511 1678
## [1237] 1845 2012 2179 2346 2513 2680 2847 3014 3181 3348 3515 3682
## [1249] 3849 4016 4183 4350 4517 4684 4851 5018 5185 5352 5519 5686
## [1261] 5853 6020 6187 6354 6521 6688 6855 7022 7189 7356 7523 7690
## [1273] 7857 8024 8191 8358 8525 8692 8859 9026 9193 9360 9527 9694
## [1285] 9861 10028 10283 10450 10617 10784 10951 11118 11285 11452 11618 11785
## [1297] 11952 12119 12286 12453 12620 12787 12954 13121 13288 13455 13622 13789
## [1309] 13956 14123 14290 14457 14624 14791 14958 15125 15292 15459 15626 15793
## [1321] 15960 16127 16294 16566 16732 16899 17066 17233 17400 17567 17734 17901
## [1333] 18068 18235 18402 18569 18736 18903 19070 19237 19404 19571 19738 19905
## [1345] 20072 20239 20406 20573 20740 20907 21074 21241 21408 21575 21742 21909
## [1357] 22076 22243 22410 22577 22744 22911 23078 23245 23409 23576 23743 23910
## [1369] 24077 24244 24411 24578 24745 24912 25079 25246 25413 25580 25747 25914
## [1381] 26081 26241 26408 26575 26742 26909 27076 27243 27410 27577 27744 27911
## [1393] 28078 28245 28412 28579 28746 28913 29080 29247 9 176 343 510
## [1405] 677 844 1011 1178 1345 1512 1679 1846 2013 2180 2347 2514
## [1417] 2681 2848 3015 3182 3349 3516 3683 3850 4017 4184 4351 4518
## [1429] 4685 4852 5019 5186 5353 5520 5687 5854 6021 6188 6355 6522
## [1441] 6689 6856 7023 7190 7357 7524 7691 7858 8025 8192 8359 8526
## [1453] 8693 8860 9027 9194 9361 9528 9695 9862 10029 10284 10451 10618
## [1465] 10785 10952 11119 11286 11453 11619 11786 11953 12120 12287 12454 12621
## [1477] 12788 12955 13122 13289 13456 13623 13790 13957 14124 14291 14458 14625
## [1489] 14792 14959 15126 15293 15460 15627 15794 15961 16128 16295 16567 16733
## [1501] 16900 17067 17234 17401 17568 17735 17902 18069 18236 18403 18570 18737
## [1513] 18904 19071 19238 19405 19572 19739 19906 20073 20240 20407 20574 20741
## [1525] 20908 21075 21242 21409 21576 21743 21910 22077 22244 22411 22578 22745
## [1537] 22912 23079 23246 23410 23577 23744 23911 24078 24245 24412 24579 24746
## [1549] 24913 25080 25247 25414 25581 25748 25915 26082 26242 26409 26576 26743
## [1561] 26910 27077 27244 27411 27578 27745 27912 28079 28246 28413 28580 28747
## [1573] 28914 29081 29248 10 177 344 511 678 845 1012 1179 1346
## [1585] 1513 1680 1847 2014 2181 2348 2515 2682 2849 3016 3183 3350
## [1597] 3517 3684 3851 4018 4185 4352 4519 4686 4853 5020 5187 5354
## [1609] 5521 5688 5855 6022 6189 6356 6523 6690 6857 7024 7191 7358
## [1621] 7525 7692 7859 8026 8193 8360 8527 8694 8861 9028 9195 9362
## [1633] 9529 9696 9863 10030 10285 10452 10619 10786 10953 11120 11287 11454
## [1645] 11620 11787 11954 12121 12288 12455 12622 12789 12956 13123 13290 13457
## [1657] 13624 13791 13958 14125 14292 14459 14626 14793 14960 15127 15294 15461
## [1669] 15628 15795 15962 16129 16296 16568 16734 16901 17068 17235 17402 17569
## [1681] 17736 17903 18070 18237 18404 18571 18738 18905 19072 19239 19406 19573
## [1693] 19740 19907 20074 20241 20408 20575 20742 20909 21076 21243 21410 21577
## [1705] 21744 21911 22078 22245 22412 22579 22746 22913 23080 23247 23411 23578
## [1717] 23745 23912 24079 24246 24413 24580 24747 24914 25081 25248 25415 25582
## [1729] 25749 25916 26083 26243 26410 26577 26744 26911 27078 27245 27412 27579
## [1741] 27746 27913 28080 28247 28414 28581 28748 28915 29082 29249 11 178
## [1753] 345 512 679 846 1013 1180 1347 1514 1681 1848 2015 2182
## [1765] 2349 2516 2683 2850 3017 3184 3351 3518 3685 3852 4019 4186
## [1777] 4353 4520 4687 4854 5021 5188 5355 5522 5689 5856 6023 6190
## [1789] 6357 6524 6691 6858 7025 7192 7359 7526 7693 7860 8027 8194
## [1801] 8361 8528 8695 8862 9029 9196 9363 9530 9697 9864 10031 10286
## [1813] 10453 10620 10787 10954 11121 11288 11455 11621 11788 11955 12122 12289
## [1825] 12456 12623 12790 12957 13124 13291 13458 13625 13792 13959 14126 14293
## [1837] 14460 14627 14794 14961 15128 15295 15462 15629 15796 15963 16130 16297
## [1849] 16569 16735 16902 17069 17236 17403 17570 17737 17904 18071 18238 18405
## [1861] 18572 18739 18906 19073 19240 19407 19574 19741 19908 20075 20242 20409
## [1873] 20576 20743 20910 21077 21244 21411 21578 21745 21912 22079 22246 22413
## [1885] 22580 22747 22914 23081 23248 23412 23579 23746 23913 24080 24247 24414
## [1897] 24581 24748 24915 25082 25249 25416 25583 25750 25917 26084 26244 26411
## [1909] 26578 26745 26912 27079 27246 27413 27580 27747 27914 28081 28248 28415
## [1921] 28582 28749 28916 29083 29250 12 179 346 513 680 847 1014
## [1933] 1181 1348 1515 1682 1849 2016 2183 2350 2517 2684 2851 3018
## [1945] 3185 3352 3519 3686 3853 4020 4187 4354 4521 4688 4855 5022
## [1957] 5189 5356 5523 5690 5857 6024 6191 6358 6525 6692 6859 7026
## [1969] 7193 7360 7527 7694 7861 8028 8195 8362 8529 8696 8863 9030
## [1981] 9197 9364 9531 9698 9865 10032 10287 10454 10621 10788 10955 11122
## [1993] 11289 11456 11622 11789 11956 12123 12290 12457 12624 12791 12958 13125
## [2005] 13292 13459 13626 13793 13960 14127 14294 14461 14628 14795 14962 15129
## [2017] 15296 15463 15630 15797 15964 16131 16298 16570 16736 16903 17070 17237
## [2029] 17404 17571 17738 17905 18072 18239 18406 18573 18740 18907 19074 19241
## [2041] 19408 19575 19742 19909 20076 20243 20410 20577 20744 20911 21078 21245
## [2053] 21412 21579 21746 21913 22080 22247 22414 22581 22748 22915 23082 23249
## [2065] 23413 23580 23747 23914 24081 24248 24415 24582 24749 24916 25083 25250
## [2077] 25417 25584 25751 25918 26085 26245 26412 26579 26746 26913 27080 27247
## [2089] 27414 27581 27748 27915 28082 28249 28416 28583 28750 28917 29084 29251
## [2101] 13 180 347 514 681 848 1015 1182 1349 1516 1683 1850
## [2113] 2017 2184 2351 2518 2685 2852 3019 3186 3353 3520 3687 3854
## [2125] 4021 4188 4355 4522 4689 4856 5023 5190 5357 5524 5691 5858
## [2137] 6025 6192 6359 6526 6693 6860 7027 7194 7361 7528 7695 7862
## [2149] 8029 8196 8363 8530 8697 8864 9031 9198 9365 9532 9699 9866
## [2161] 10033 10288 10455 10622 10789 10956 11123 11290 11457 11623 11790 11957
## [2173] 12124 12291 12458 12625 12792 12959 13126 13293 13460 13627 13794 13961
## [2185] 14128 14295 14462 14629 14796 14963 15130 15297 15464 15631 15798 15965
## [2197] 16132 16299 16571 16737 16904 17071 17238 17405 17572 17739 17906 18073
## [2209] 18240 18407 18574 18741 18908 19075 19242 19409 19576 19743 19910 20077
## [2221] 20244 20411 20578 20745 20912 21079 21246 21413 21580 21747 21914 22081
## [2233] 22248 22415 22582 22749 22916 23083 23250 23414 23581 23748 23915 24082
## [2245] 24249 24416 24583 24750 24917 25084 25251 25418 25585 25752 25919 26086
## [2257] 26246 26413 26580 26747 26914 27081 27248 27415 27582 27749 27916 28083
## [2269] 28250 28417 28584 28751 28918 29085 29252 14 181 348 515 682
## [2281] 849 1016 1183 1350 1517 1684 1851 2018 2185 2352 2519 2686
## [2293] 2853 3020 3187 3354 3521 3688 3855 4022 4189 4356 4523 4690
## [2305] 4857 5024 5191 5358 5525 5692 5859 6026 6193 6360 6527 6694
## [2317] 6861 7028 7195 7362 7529 7696 7863 8030 8197 8364 8531 8698
## [2329] 8865 9032 9199 9366 9533 9700 9867 10034 10289 10456 10623 10790
## [2341] 10957 11124 11291 11458 11624 11791 11958 12125 12292 12459 12626 12793
## [2353] 12960 13127 13294 13461 13628 13795 13962 14129 14296 14463 14630 14797
## [2365] 14964 15131 15298 15465 15632 15799 15966 16133 16300 16572 16738 16905
## [2377] 17072 17239 17406 17573 17740 17907 18074 18241 18408 18575 18742 18909
## [2389] 19076 19243 19410 19577 19744 19911 20078 20245 20412 20579 20746 20913
## [2401] 21080 21247 21414 21581 21748 21915 22082 22249 22416 22583 22750 22917
## [2413] 23084 23251 23415 23582 23749 23916 24083 24250 24417 24584 24751 24918
## [2425] 25085 25252 25419 25586 25753 25920 26087 26247 26414 26581 26748 26915
## [2437] 27082 27249 27416 27583 27750 27917 28084 28251 28418 28585 28752 28919
## [2449] 29086 29253 15 182 349 516 683 850 1017 1184 1351 1518
## [2461] 1685 1852 2019 2186 2353 2520 2687 2854 3021 3188 3355 3522
## [2473] 3689 3856 4023 4190 4357 4524 4691 4858 5025 5192 5359 5526
## [2485] 5693 5860 6027 6194 6361 6528 6695 6862 7029 7196 7363 7530
## [2497] 7697 7864 8031 8198 8365 8532 8699 8866 9033 9200 9367 9534
## [2509] 9701 9868 10035 10290 10457 10624 10791 10958 11125 11292 11459 11625
## [2521] 11792 11959 12126 12293 12460 12627 12794 12961 13128 13295 13462 13629
## [2533] 13796 13963 14130 14297 14464 14631 14798 14965 15132 15299 15466 15633
## [2545] 15800 15967 16134 16301 16573 16739 16906 17073 17240 17407 17574 17741
## [2557] 17908 18075 18242 18409 18576 18743 18910 19077 19244 19411 19578 19745
## [2569] 19912 20079 20246 20413 20580 20747 20914 21081 21248 21415 21582 21749
## [2581] 21916 22083 22250 22417 22584 22751 22918 23085 23252 23416 23583 23750
## [2593] 23917 24084 24251 24418 24585 24752 24919 25086 25253 25420 25587 25754
## [2605] 25921 26088 26248 26415 26582 26749 26916 27083 27250 27417 27584 27751
## [2617] 27918 28085 28252 28419 28586 28753 28920 29087 29254 16 183 350
## [2629] 517 684 851 1018 1185 1352 1519 1686 1853 2020 2187 2354
## [2641] 2521 2688 2855 3022 3189 3356 3523 3690 3857 4024 4191 4358
## [2653] 4525 4692 4859 5026 5193 5360 5527 5694 5861 6028 6195 6362
## [2665] 6529 6696 6863 7030 7197 7364 7531 7698 7865 8032 8199 8366
## [2677] 8533 8700 8867 9034 9201 9368 9535 9702 9869 10036 10291 10458
## [2689] 10625 10792 10959 11126 11293 11460 11626 11793 11960 12127 12294 12461
## [2701] 12628 12795 12962 13129 13296 13463 13630 13797 13964 14131 14298 14465
## [2713] 14632 14799 14966 15133 15300 15467 15634 15801 15968 16135 16302 16574
## [2725] 16740 16907 17074 17241 17408 17575 17742 17909 18076 18243 18410 18577
## [2737] 18744 18911 19078 19245 19412 19579 19746 19913 20080 20247 20414 20581
## [2749] 20748 20915 21082 21249 21416 21583 21750 21917 22084 22251 22418 22585
## [2761] 22752 22919 23086 23253 23417 23584 23751 23918 24085 24252 24419 24586
## [2773] 24753 24920 25087 25254 25421 25588 25755 25922 26089 26249 26416 26583
## [2785] 26750 26917 27084 27251 27418 27585 27752 27919 28086 28253 28420 28587
## [2797] 28754 28921 29088 29255 17 184 351 518 685 852 1019 1186
## [2809] 1353 1520 1687 1854 2021 2188 2355 2522 2689 2856 3023 3190
## [2821] 3357 3524 3691 3858 4025 4192 4359 4526 4693 4860 5027 5194
## [2833] 5361 5528 5695 5862 6029 6196 6363 6530 6697 6864 7031 7198
## [2845] 7365 7532 7699 7866 8033 8200 8367 8534 8701 8868 9035 9202
## [2857] 9369 9536 9703 9870 10037 10292 10459 10626 10793 10960 11127 11294
## [2869] 11461 11627 11794 11961 12128 12295 12462 12629 12796 12963 13130 13297
## [2881] 13464 13631 13798 13965 14132 14299 14466 14633 14800 14967 15134 15301
## [2893] 15468 15635 15802 15969 16136 16303 16575 16741 16908 17075 17242 17409
## [2905] 17576 17743 17910 18077 18244 18411 18578 18745 18912 19079 19246 19413
## [2917] 19580 19747 19914 20081 20248 20415 20582 20749 20916 21083 21250 21417
## [2929] 21584 21751 21918 22085 22252 22419 22586 22753 22920 23087 23254 23418
## [2941] 23585 23752 23919 24086 24253 24420 24587 24754 24921 25088 25255 25422
## [2953] 25589 25756 25923 26090 26250 26417 26584 26751 26918 27085 27252 27419
## [2965] 27586 27753 27920 28087 28254 28421 28588 28755 28922 29089 29256 18
## [2977] 185 352 519 686 853 1020 1187 1354 1521 1688 1855 2022
## [2989] 2189 2356 2523 2690 2857 3024 3191 3358 3525 3692 3859 4026
## [3001] 4193 4360 4527 4694 4861 5028 5195 5362 5529 5696 5863 6030
## [3013] 6197 6364 6531 6698 6865 7032 7199 7366 7533 7700 7867 8034
## [3025] 8201 8368 8535 8702 8869 9036 9203 9370 9537 9704 9871 10038
## [3037] 10293 10460 10627 10794 10961 11128 11295 11462 11628 11795 11962 12129
## [3049] 12296 12463 12630 12797 12964 13131 13298 13465 13632 13799 13966 14133
## [3061] 14300 14467 14634 14801 14968 15135 15302 15469 15636 15803 15970 16137
## [3073] 16304 16576 16742 16909 17076 17243 17410 17577 17744 17911 18078 18245
## [3085] 18412 18579 18746 18913 19080 19247 19414 19581 19748 19915 20082 20249
## [3097] 20416 20583 20750 20917 21084 21251 21418 21585 21752 21919 22086 22253
## [3109] 22420 22587 22754 22921 23088 23255 23419 23586 23753 23920 24087 24254
## [3121] 24421 24588 24755 24922 25089 25256 25423 25590 25757 25924 26091 26251
## [3133] 26418 26585 26752 26919 27086 27253 27420 27587 27754 27921 28088 28255
## [3145] 28422 28589 28756 28923 29090 29257 19 186 353 520 687 854
## [3157] 1021 1188 1355 1522 1689 1856 2023 2190 2357 2524 2691 2858
## [3169] 3025 3192 3359 3526 3693 3860 4027 4194 4361 4528 4695 4862
## [3181] 5029 5196 5363 5530 5697 5864 6031 6198 6365 6532 6699 6866
## [3193] 7033 7200 7367 7534 7701 7868 8035 8202 8369 8536 8703 8870
## [3205] 9037 9204 9371 9538 9705 9872 10039 10294 10461 10628 10795 10962
## [3217] 11129 11296 11463 11629 11796 11963 12130 12297 12464 12631 12798 12965
## [3229] 13132 13299 13466 13633 13800 13967 14134 14301 14468 14635 14802 14969
## [3241] 15136 15303 15470 15637 15804 15971 16138 16305 16577 16743 16910 17077
## [3253] 17244 17411 17578 17745 17912 18079 18246 18413 18580 18747 18914 19081
## [3265] 19248 19415 19582 19749 19916 20083 20250 20417 20584 20751 20918 21085
## [3277] 21252 21419 21586 21753 21920 22087 22254 22421 22588 22755 22922 23089
## [3289] 23256 23420 23587 23754 23921 24088 24255 24422 24589 24756 24923 25090
## [3301] 25257 25424 25591 25758 25925 26092 26252 26419 26586 26753 26920 27087
## [3313] 27254 27421 27588 27755 27922 28089 28256 28423 28590 28757 28924 29091
## [3325] 29258 20 187 354 521 688 855 1022 1189 1356 1523 1690
## [3337] 1857 2024 2191 2358 2525 2692 2859 3026 3193 3360 3527 3694
## [3349] 3861 4028 4195 4362 4529 4696 4863 5030 5197 5364 5531 5698
## [3361] 5865 6032 6199 6366 6533 6700 6867 7034 7201 7368 7535 7702
## [3373] 7869 8036 8203 8370 8537 8704 8871 9038 9205 9372 9539 9706
## [3385] 9873 10040 10295 10462 10629 10796 10963 11130 11297 11464 11630 11797
## [3397] 11964 12131 12298 12465 12632 12799 12966 13133 13300 13467 13634 13801
## [3409] 13968 14135 14302 14469 14636 14803 14970 15137 15304 15471 15638 15805
## [3421] 15972 16139 16306 16578 16744 16911 17078 17245 17412 17579 17746 17913
## [3433] 18080 18247 18414 18581 18748 18915 19082 19249 19416 19583 19750 19917
## [3445] 20084 20251 20418 20585 20752 20919 21086 21253 21420 21587 21754 21921
## [3457] 22088 22255 22422 22589 22756 22923 23090 23257 23421 23588 23755 23922
## [3469] 24089 24256 24423 24590 24757 24924 25091 25258 25425 25592 25759 25926
## [3481] 26093 26253 26420 26587 26754 26921 27088 27255 27422 27589 27756 27923
## [3493] 28090 28257 28424 28591 28758 28925 29092 29259 21 188 355 522
## [3505] 689 856 1023 1190 1357 1524 1691 1858 2025 2192 2359 2526
## [3517] 2693 2860 3027 3194 3361 3528 3695 3862 4029 4196 4363 4530
## [3529] 4697 4864 5031 5198 5365 5532 5699 5866 6033 6200 6367 6534
## [3541] 6701 6868 7035 7202 7369 7536 7703 7870 8037 8204 8371 8538
## [3553] 8705 8872 9039 9206 9373 9540 9707 9874 10041 10296 10463 10630
## [3565] 10797 10964 11131 11298 11465 11631 11798 11965 12132 12299 12466 12633
## [3577] 12800 12967 13134 13301 13468 13635 13802 13969 14136 14303 14470 14637
## [3589] 14804 14971 15138 15305 15472 15639 15806 15973 16140 16307 16579 16745
## [3601] 16912 17079 17246 17413 17580 17747 17914 18081 18248 18415 18582 18749
## [3613] 18916 19083 19250 19417 19584 19751 19918 20085 20252 20419 20586 20753
## [3625] 20920 21087 21254 21421 21588 21755 21922 22089 22256 22423 22590 22757
## [3637] 22924 23091 23258 23422 23589 23756 23923 24090 24257 24424 24591 24758
## [3649] 24925 25092 25259 25426 25593 25760 25927 26094 26254 26421 26588 26755
## [3661] 26922 27089 27256 27423 27590 27757 27924 28091 28258 28425 28592 28759
## [3673] 28926 29093 29260 22 189 356 523 690 857 1024 1191 1358
## [3685] 1525 1692 1859 2026 2193 2360 2527 2694 2861 3028 3195 3362
## [3697] 3529 3696 3863 4030 4197 4364 4531 4698 4865 5032 5199 5366
## [3709] 5533 5700 5867 6034 6201 6368 6535 6702 6869 7036 7203 7370
## [3721] 7537 7704 7871 8038 8205 8372 8539 8706 8873 9040 9207 9374
## [3733] 9541 9708 9875 10042 10297 10464 10631 10798 10965 11132 11299 11466
## [3745] 11632 11799 11966 12133 12300 12467 12634 12801 12968 13135 13302 13469
## [3757] 13636 13803 13970 14137 14304 14471 14638 14805 14972 15139 15306 15473
## [3769] 15640 15807 15974 16141 16308 16580 16746 16913 17080 17247 17414 17581
## [3781] 17748 17915 18082 18249 18416 18583 18750 18917 19084 19251 19418 19585
## [3793] 19752 19919 20086 20253 20420 20587 20754 20921 21088 21255 21422 21589
## [3805] 21756 21923 22090 22257 22424 22591 22758 22925 23092 23259 23423 23590
## [3817] 23757 23924 24091 24258 24425 24592 24759 24926 25093 25260 25427 25594
## [3829] 25761 25928 26095 26255 26422 26589 26756 26923 27090 27257 27424 27591
## [3841] 27758 27925 28092 28259 28426 28593 28760 28927 29094 29261 23 190
## [3853] 357 524 691 858 1025 1192 1359 1526 1693 1860 2027 2194
## [3865] 2361 2528 2695 2862 3029 3196 3363 3530 3697 3864 4031 4198
## [3877] 4365 4532 4699 4866 5033 5200 5367 5534 5701 5868 6035 6202
## [3889] 6369 6536 6703 6870 7037 7204 7371 7538 7705 7872 8039 8206
## [3901] 8373 8540 8707 8874 9041 9208 9375 9542 9709 9876 10043 10298
## [3913] 10465 10632 10799 10966 11133 11300 11467 11633 11800 11967 12134 12301
## [3925] 12468 12635 12802 12969 13136 13303 13470 13637 13804 13971 14138 14305
## [3937] 14472 14639 14806 14973 15140 15307 15474 15641 15808 15975 16142 16309
## [3949] 16581 16747 16914 17081 17248 17415 17582 17749 17916 18083 18250 18417
## [3961] 18584 18751 18918 19085 19252 19419 19586 19753 19920 20087 20254 20421
## [3973] 20588 20755 20922 21089 21256 21423 21590 21757 21924 22091 22258 22425
## [3985] 22592 22759 22926 23093 23260 23424 23591 23758 23925 24092 24259 24426
## [3997] 24593 24760 24927 25094 25261 25428 25595 25762 25929 26096 26256 26423
## [4009] 26590 26757 26924 27091 27258 27425 27592 27759 27926 28093 28260 28427
## [4021] 28594 28761 28928 29095 29262 24 191 358 525 692 859 1026
## [4033] 1193 1360 1527 1694 1861 2028 2195 2362 2529 2696 2863 3030
## [4045] 3197 3364 3531 3698 3865 4032 4199 4366 4533 4700 4867 5034
## [4057] 5201 5368 5535 5702 5869 6036 6203 6370 6537 6704 6871 7038
## [4069] 7205 7372 7539 7706 7873 8040 8207 8374 8541 8708 8875 9042
## [4081] 9209 9376 9543 9710 9877 10044 10299 10466 10633 10800 10967 11134
## [4093] 11301 11468 11634 11801 11968 12135 12302 12469 12636 12803 12970 13137
## [4105] 13304 13471 13638 13805 13972 14139 14306 14473 14640 14807 14974 15141
## [4117] 15308 15475 15642 15809 15976 16143 16310 16582 16748 16915 17082 17249
## [4129] 17416 17583 17750 17917 18084 18251 18418 18585 18752 18919 19086 19253
## [4141] 19420 19587 19754 19921 20088 20255 20422 20589 20756 20923 21090 21257
## [4153] 21424 21591 21758 21925 22092 22259 22426 22593 22760 22927 23094 23261
## [4165] 23425 23592 23759 23926 24093 24260 24427 24594 24761 24928 25095 25262
## [4177] 25429 25596 25763 25930 26097 26257 26424 26591 26758 26925 27092 27259
## [4189] 27426 27593 27760 27927 28094 28261 28428 28595 28762 28929 29096 29263
## [4201] 25 192 359 526 693 860 1027 1194 1361 1528 1695 1862
## [4213] 2029 2196 2363 2530 2697 2864 3031 3198 3365 3532 3699 3866
## [4225] 4033 4200 4367 4534 4701 4868 5035 5202 5369 5536 5703 5870
## [4237] 6037 6204 6371 6538 6705 6872 7039 7206 7373 7540 7707 7874
## [4249] 8041 8208 8375 8542 8709 8876 9043 9210 9377 9544 9711 9878
## [4261] 10045 10300 10467 10634 10801 10968 11135 11302 11469 11635 11802 11969
## [4273] 12136 12303 12470 12637 12804 12971 13138 13305 13472 13639 13806 13973
## [4285] 14140 14307 14474 14641 14808 14975 15142 15309 15476 15643 15810 15977
## [4297] 16144 16311 16583 16749 16916 17083 17250 17417 17584 17751 17918 18085
## [4309] 18252 18419 18586 18753 18920 19087 19254 19421 19588 19755 19922 20089
## [4321] 20256 20423 20590 20757 20924 21091 21258 21425 21592 21759 21926 22093
## [4333] 22260 22427 22594 22761 22928 23095 23262 23426 23593 23760 23927 24094
## [4345] 24261 24428 24595 24762 24929 25096 25263 25430 25597 25764 25931 26098
## [4357] 26258 26425 26592 26759 26926 27093 27260 27427 27594 27761 27928 28095
## [4369] 28262 28429 28596 28763 28930 29097 29264 26 193 360 527 694
## [4381] 861 1028 1195 1362 1529 1696 1863 2030 2197 2364 2531 2698
## [4393] 2865 3032 3199 3366 3533 3700 3867 4034 4201 4368 4535 4702
## [4405] 4869 5036 5203 5370 5537 5704 5871 6038 6205 6372 6539 6706
## [4417] 6873 7040 7207 7374 7541 7708 7875 8042 8209 8376 8543 8710
## [4429] 8877 9044 9211 9378 9545 9712 9879 10046 10301 10468 10635 10802
## [4441] 10969 11136 11303 11470 11636 11803 11970 12137 12304 12471 12638 12805
## [4453] 12972 13139 13306 13473 13640 13807 13974 14141 14308 14475 14642 14809
## [4465] 14976 15143 15310 15477 15644 15811 15978 16145 16312 16584 16750 16917
## [4477] 17084 17251 17418 17585 17752 17919 18086 18253 18420 18587 18754 18921
## [4489] 19088 19255 19422 19589 19756 19923 20090 20257 20424 20591 20758 20925
## [4501] 21092 21259 21426 21593 21760 21927 22094 22261 22428 22595 22762 22929
## [4513] 23096 23263 23427 23594 23761 23928 24095 24262 24429 24596 24763 24930
## [4525] 25097 25264 25431 25598 25765 25932 26099 26259 26426 26593 26760 26927
## [4537] 27094 27261 27428 27595 27762 27929 28096 28263 28430 28597 28764 28931
## [4549] 29098 29265 27 194 361 528 695 862 1029 1196 1363 1530
## [4561] 1697 1864 2031 2198 2365 2532 2699 2866 3033 3200 3367 3534
## [4573] 3701 3868 4035 4202 4369 4536 4703 4870 5037 5204 5371 5538
## [4585] 5705 5872 6039 6206 6373 6540 6707 6874 7041 7208 7375 7542
## [4597] 7709 7876 8043 8210 8377 8544 8711 8878 9045 9212 9379 9546
## [4609] 9713 9880 10047 10302 10469 10636 10803 10970 11137 11304 11471 11637
## [4621] 11804 11971 12138 12305 12472 12639 12806 12973 13140 13307 13474 13641
## [4633] 13808 13975 14142 14309 14476 14643 14810 14977 15144 15311 15478 15645
## [4645] 15812 15979 16146 16313 16585 16751 16918 17085 17252 17419 17586 17753
## [4657] 17920 18087 18254 18421 18588 18755 18922 19089 19256 19423 19590 19757
## [4669] 19924 20091 20258 20425 20592 20759 20926 21093 21260 21427 21594 21761
## [4681] 21928 22095 22262 22429 22596 22763 22930 23097 23264 23428 23595 23762
## [4693] 23929 24096 24263 24430 24597 24764 24931 25098 25265 25432 25599 25766
## [4705] 25933 26100 26260 26427 26594 26761 26928 27095 27262 27429 27596 27763
## [4717] 27930 28097 28264 28431 28598 28765 28932 29099 29266 28 195 362
## [4729] 529 696 863 1030 1197 1364 1531 1698 1865 2032 2199 2366
## [4741] 2533 2700 2867 3034 3201 3368 3535 3702 3869 4036 4203 4370
## [4753] 4537 4704 4871 5038 5205 5372 5539 5706 5873 6040 6207 6374
## [4765] 6541 6708 6875 7042 7209 7376 7543 7710 7877 8044 8211 8378
## [4777] 8545 8712 8879 9046 9213 9380 9547 9714 9881 10048 10303 10470
## [4789] 10637 10804 10971 11138 11305 11472 11638 11805 11972 12139 12306 12473
## [4801] 12640 12807 12974 13141 13308 13475 13642 13809 13976 14143 14310 14477
## [4813] 14644 14811 14978 15145 15312 15479 15646 15813 15980 16147 16314 16586
## [4825] 16752 16919 17086 17253 17420 17587 17754 17921 18088 18255 18422 18589
## [4837] 18756 18923 19090 19257 19424 19591 19758 19925 20092 20259 20426 20593
## [4849] 20760 20927 21094 21261 21428 21595 21762 21929 22096 22263 22430 22597
## [4861] 22764 22931 23098 23265 23429 23596 23763 23930 24097 24264 24431 24598
## [4873] 24765 24932 25099 25266 25433 25600 25767 25934 26101 26261 26428 26595
## [4885] 26762 26929 27096 27263 27430 27597 27764 27931 28098 28265 28432 28599
## [4897] 28766 28933 29100 29267 29 196 363 530 697 864 1031 1198
## [4909] 1365 1532 1699 1866 2033 2200 2367 2534 2701 2868 3035 3202
## [4921] 3369 3536 3703 3870 4037 4204 4371 4538 4705 4872 5039 5206
## [4933] 5373 5540 5707 5874 6041 6208 6375 6542 6709 6876 7043 7210
## [4945] 7377 7544 7711 7878 8045 8212 8379 8546 8713 8880 9047 9214
## [4957] 9381 9548 9715 9882 10049 10304 10471 10638 10805 10972 11139 11306
## [4969] 11473 11639 11806 11973 12140 12307 12474 12641 12808 12975 13142 13309
## [4981] 13476 13643 13810 13977 14144 14311 14478 14645 14812 14979 15146 15313
## [4993] 15480 15647 15814 15981 16148 16315 16587 16753 16920 17087 17254 17421
## [5005] 17588 17755 17922 18089 18256 18423 18590 18757 18924 19091 19258 19425
## [5017] 19592 19759 19926 20093 20260 20427 20594 20761 20928 21095 21262 21429
## [5029] 21596 21763 21930 22097 22264 22431 22598 22765 22932 23099 23266 23430
## [5041] 23597 23764 23931 24098 24265 24432 24599 24766 24933 25100 25267 25434
## [5053] 25601 25768 25935 26102 26262 26429 26596 26763 26930 27097 27264 27431
## [5065] 27598 27765 27932 28099 28266 28433 28600 28767 28934 29101 29268 30
## [5077] 197 364 531 698 865 1032 1199 1366 1533 1700 1867 2034
## [5089] 2201 2368 2535 2702 2869 3036 3203 3370 3537 3704 3871 4038
## [5101] 4205 4372 4539 4706 4873 5040 5207 5374 5541 5708 5875 6042
## [5113] 6209 6376 6543 6710 6877 7044 7211 7378 7545 7712 7879 8046
## [5125] 8213 8380 8547 8714 8881 9048 9215 9382 9549 9716 9883 10050
## [5137] 10305 10472 10639 10806 10973 11140 11307 11474 11640 11807 11974 12141
## [5149] 12308 12475 12642 12809 12976 13143 13310 13477 13644 13811 13978 14145
## [5161] 14312 14479 14646 14813 14980 15147 15314 15481 15648 15815 15982 16149
## [5173] 16316 16588 16754 16921 17088 17255 17422 17589 17756 17923 18090 18257
## [5185] 18424 18591 18758 18925 19092 19259 19426 19593 19760 19927 20094 20261
## [5197] 20428 20595 20762 20929 21096 21263 21430 21597 21764 21931 22098 22265
## [5209] 22432 22599 22766 22933 23100 23267 23431 23598 23765 23932 24099 24266
## [5221] 24433 24600 24767 24934 25101 25268 25435 25602 25769 25936 26103 26263
## [5233] 26430 26597 26764 26931 27098 27265 27432 27599 27766 27933 28100 28267
## [5245] 28434 28601 28768 28935 29102 29269 31 198 365 532 699 866
## [5257] 1033 1200 1367 1534 1701 1868 2035 2202 2369 2536 2703 2870
## [5269] 3037 3204 3371 3538 3705 3872 4039 4206 4373 4540 4707 4874
## [5281] 5041 5208 5375 5542 5709 5876 6043 6210 6377 6544 6711 6878
## [5293] 7045 7212 7379 7546 7713 7880 8047 8214 8381 8548 8715 8882
## [5305] 9049 9216 9383 9550 9717 9884 10051 10306 10473 10640 10807 10974
## [5317] 11141 11308 11475 11641 11808 11975 12142 12309 12476 12643 12810 12977
## [5329] 13144 13311 13478 13645 13812 13979 14146 14313 14480 14647 14814 14981
## [5341] 15148 15315 15482 15649 15816 15983 16150 16317 16589 16755 16922 17089
## [5353] 17256 17423 17590 17757 17924 18091 18258 18425 18592 18759 18926 19093
## [5365] 19260 19427 19594 19761 19928 20095 20262 20429 20596 20763 20930 21097
## [5377] 21264 21431 21598 21765 21932 22099 22266 22433 22600 22767 22934 23101
## [5389] 23268 23432 23599 23766 23933 24100 24267 24434 24601 24768 24935 25102
## [5401] 25269 25436 25603 25770 25937 26104 26264 26431 26598 26765 26932 27099
## [5413] 27266 27433 27600 27767 27934 28101 28268 28435 28602 28769 28936 29103
## [5425] 29270 32 199 366 533 700 867 1034 1201 1368 1535 1702
## [5437] 1869 2036 2203 2370 2537 2704 2871 3038 3205 3372 3539 3706
## [5449] 3873 4040 4207 4374 4541 4708 4875 5042 5209 5376 5543 5710
## [5461] 5877 6044 6211 6378 6545 6712 6879 7046 7213 7380 7547 7714
## [5473] 7881 8048 8215 8382 8549 8716 8883 9050 9217 9384 9551 9718
## [5485] 9885 10052 10307 10474 10641 10808 10975 11142 11309 11476 11642 11809
## [5497] 11976 12143 12310 12477 12644 12811 12978 13145 13312 13479 13646 13813
## [5509] 13980 14147 14314 14481 14648 14815 14982 15149 15316 15483 15650 15817
## [5521] 15984 16151 16318 16590 16756 16923 17090 17257 17424 17591 17758 17925
## [5533] 18092 18259 18426 18593 18760 18927 19094 19261 19428 19595 19762 19929
## [5545] 20096 20263 20430 20597 20764 20931 21098 21265 21432 21599 21766 21933
## [5557] 22100 22267 22434 22601 22768 22935 23102 23269 23433 23600 23767 23934
## [5569] 24101 24268 24435 24602 24769 24936 25103 25270 25437 25604 25771 25938
## [5581] 26105 26265 26432 26599 26766 26933 27100 27267 27434 27601 27768 27935
## [5593] 28102 28269 28436 28603 28770 28937 29104 29271 33 200 367 534
## [5605] 701 868 1035 1202 1369 1536 1703 1870 2037 2204 2371 2538
## [5617] 2705 2872 3039 3206 3373 3540 3707 3874 4041 4208 4375 4542
## [5629] 4709 4876 5043 5210 5377 5544 5711 5878 6045 6212 6379 6546
## [5641] 6713 6880 7047 7214 7381 7548 7715 7882 8049 8216 8383 8550
## [5653] 8717 8884 9051 9218 9385 9552 9719 9886 10053 10308 10475 10642
## [5665] 10809 10976 11143 11310 11477 11643 11810 11977 12144 12311 12478 12645
## [5677] 12812 12979 13146 13313 13480 13647 13814 13981 14148 14315 14482 14649
## [5689] 14816 14983 15150 15317 15484 15651 15818 15985 16152 16319 16591 16757
## [5701] 16924 17091 17258 17425 17592 17759 17926 18093 18260 18427 18594 18761
## [5713] 18928 19095 19262 19429 19596 19763 19930 20097 20264 20431 20598 20765
## [5725] 20932 21099 21266 21433 21600 21767 21934 22101 22268 22435 22602 22769
## [5737] 22936 23103 23270 23434 23601 23768 23935 24102 24269 24436 24603 24770
## [5749] 24937 25104 25271 25438 25605 25772 25939 26106 26266 26433 26600 26767
## [5761] 26934 27101 27268 27435 27602 27769 27936 28103 28270 28437 28604 28771
## [5773] 28938 29105 29272 34 201 368 535 702 869 1036 1203 1370
## [5785] 1537 1704 1871 2038 2205 2372 2539 2706 2873 3040 3207 3374
## [5797] 3541 3708 3875 4042 4209 4376 4543 4710 4877 5044 5211 5378
## [5809] 5545 5712 5879 6046 6213 6380 6547 6714 6881 7048 7215 7382
## [5821] 7549 7716 7883 8050 8217 8384 8551 8718 8885 9052 9219 9386
## [5833] 9553 9720 9887 10054 10309 10476 10643 10810 10977 11144 11311 11478
## [5845] 11644 11811 11978 12145 12312 12479 12646 12813 12980 13147 13314 13481
## [5857] 13648 13815 13982 14149 14316 14483 14650 14817 14984 15151 15318 15485
## [5869] 15652 15819 15986 16153 16320 16592 16758 16925 17092 17259 17426 17593
## [5881] 17760 17927 18094 18261 18428 18595 18762 18929 19096 19263 19430 19597
## [5893] 19764 19931 20098 20265 20432 20599 20766 20933 21100 21267 21434 21601
## [5905] 21768 21935 22102 22269 22436 22603 22770 22937 23104 23271 23435 23602
## [5917] 23769 23936 24103 24270 24437 24604 24771 24938 25105 25272 25439 25606
## [5929] 25773 25940 26107 26267 26434 26601 26768 26935 27102 27269 27436 27603
## [5941] 27770 27937 28104 28271 28438 28605 28772 28939 29106 29273 35 202
## [5953] 369 536 703 870 1037 1204 1371 1538 1705 1872 2039 2206
## [5965] 2373 2540 2707 2874 3041 3208 3375 3542 3709 3876 4043 4210
## [5977] 4377 4544 4711 4878 5045 5212 5379 5546 5713 5880 6047 6214
## [5989] 6381 6548 6715 6882 7049 7216 7383 7550 7717 7884 8051 8218
## [6001] 8385 8552 8719 8886 9053 9220 9387 9554 9721 9888 10055 10310
## [6013] 10477 10644 10811 10978 11145 11312 11479 11645 11812 11979 12146 12313
## [6025] 12480 12647 12814 12981 13148 13315 13482 13649 13816 13983 14150 14317
## [6037] 14484 14651 14818 14985 15152 15319 15486 15653 15820 15987 16154 16321
## [6049] 16593 16759 16926 17093 17260 17427 17594 17761 17928 18095 18262 18429
## [6061] 18596 18763 18930 19097 19264 19431 19598 19765 19932 20099 20266 20433
## [6073] 20600 20767 20934 21101 21268 21435 21602 21769 21936 22103 22270 22437
## [6085] 22604 22771 22938 23105 23272 23436 23603 23770 23937 24104 24271 24438
## [6097] 24605 24772 24939 25106 25273 25440 25607 25774 25941 26108 26268 26435
## [6109] 26602 26769 26936 27103 27270 27437 27604 27771 27938 28105 28272 28439
## [6121] 28606 28773 28940 29107 29274 36 203 370 537 704 871 1038
## [6133] 1205 1372 1539 1706 1873 2040 2207 2374 2541 2708 2875 3042
## [6145] 3209 3376 3543 3710 3877 4044 4211 4378 4545 4712 4879 5046
## [6157] 5213 5380 5547 5714 5881 6048 6215 6382 6549 6716 6883 7050
## [6169] 7217 7384 7551 7718 7885 8052 8219 8386 8553 8720 8887 9054
## [6181] 9221 9388 9555 9722 9889 10056 10311 10478 10645 10812 10979 11146
## [6193] 11313 11480 11646 11813 11980 12147 12314 12481 12648 12815 12982 13149
## [6205] 13316 13483 13650 13817 13984 14151 14318 14485 14652 14819 14986 15153
## [6217] 15320 15487 15654 15821 15988 16155 16322 16594 16760 16927 17094 17261
## [6229] 17428 17595 17762 17929 18096 18263 18430 18597 18764 18931 19098 19265
## [6241] 19432 19599 19766 19933 20100 20267 20434 20601 20768 20935 21102 21269
## [6253] 21436 21603 21770 21937 22104 22271 22438 22605 22772 22939 23106 23273
## [6265] 23437 23604 23771 23938 24105 24272 24439 24606 24773 24940 25107 25274
## [6277] 25441 25608 25775 25942 26109 26269 26436 26603 26770 26937 27104 27271
## [6289] 27438 27605 27772 27939 28106 28273 28440 28607 28774 28941 29108 29275
## [6301] 37 204 371 538 705 872 1039 1206 1373 1540 1707 1874
## [6313] 2041 2208 2375 2542 2709 2876 3043 3210 3377 3544 3711 3878
## [6325] 4045 4212 4379 4546 4713 4880 5047 5214 5381 5548 5715 5882
## [6337] 6049 6216 6383 6550 6717 6884 7051 7218 7385 7552 7719 7886
## [6349] 8053 8220 8387 8554 8721 8888 9055 9222 9389 9556 9723 9890
## [6361] 10057 10312 10479 10646 10813 10980 11147 11314 11481 11647 11814 11981
## [6373] 12148 12315 12482 12649 12816 12983 13150 13317 13484 13651 13818 13985
## [6385] 14152 14319 14486 14653 14820 14987 15154 15321 15488 15655 15822 15989
## [6397] 16156 16323 16595 16761 16928 17095 17262 17429 17596 17763 17930 18097
## [6409] 18264 18431 18598 18765 18932 19099 19266 19433 19600 19767 19934 20101
## [6421] 20268 20435 20602 20769 20936 21103 21270 21437 21604 21771 21938 22105
## [6433] 22272 22439 22606 22773 22940 23107 23274 23438 23605 23772 23939 24106
## [6445] 24273 24440 24607 24774 24941 25108 25275 25442 25609 25776 25943 26110
## [6457] 26270 26437 26604 26771 26938 27105 27272 27439 27606 27773 27940 28107
## [6469] 28274 28441 28608 28775 28942 29109 29276 38 205 372 539 706
## [6481] 873 1040 1207 1374 1541 1708 1875 2042 2209 2376 2543 2710
## [6493] 2877 3044 3211 3378 3545 3712 3879 4046 4213 4380 4547 4714
## [6505] 4881 5048 5215 5382 5549 5716 5883 6050 6217 6384 6551 6718
## [6517] 6885 7052 7219 7386 7553 7720 7887 8054 8221 8388 8555 8722
## [6529] 8889 9056 9223 9390 9557 9724 9891 10058 10313 10480 10647 10814
## [6541] 10981 11148 11315 11482 11648 11815 11982 12149 12316 12483 12650 12817
## [6553] 12984 13151 13318 13485 13652 13819 13986 14153 14320 14487 14654 14821
## [6565] 14988 15155 15322 15489 15656 15823 15990 16157 16324 16596 16762 16929
## [6577] 17096 17263 17430 17597 17764 17931 18098 18265 18432 18599 18766 18933
## [6589] 19100 19267 19434 19601 19768 19935 20102 20269 20436 20603 20770 20937
## [6601] 21104 21271 21438 21605 21772 21939 22106 22273 22440 22607 22774 22941
## [6613] 23108 23275 23439 23606 23773 23940 24107 24274 24441 24608 24775 24942
## [6625] 25109 25276 25443 25610 25777 25944 26111 26271 26438 26605 26772 26939
## [6637] 27106 27273 27440 27607 27774 27941 28108 28275 28442 28609 28776 28943
## [6649] 29110 29277 39 206 373 540 707 874 1041 1208 1375 1542
## [6661] 1709 1876 2043 2210 2377 2544 2711 2878 3045 3212 3379 3546
## [6673] 3713 3880 4047 4214 4381 4548 4715 4882 5049 5216 5383 5550
## [6685] 5717 5884 6051 6218 6385 6552 6719 6886 7053 7220 7387 7554
## [6697] 7721 7888 8055 8222 8389 8556 8723 8890 9057 9224 9391 9558
## [6709] 9725 9892 10059 10314 10481 10648 10815 10982 11149 11316 11483 11649
## [6721] 11816 11983 12150 12317 12484 12651 12818 12985 13152 13319 13486 13653
## [6733] 13820 13987 14154 14321 14488 14655 14822 14989 15156 15323 15490 15657
## [6745] 15824 15991 16158 16325 16597 16763 16930 17097 17264 17431 17598 17765
## [6757] 17932 18099 18266 18433 18600 18767 18934 19101 19268 19435 19602 19769
## [6769] 19936 20103 20270 20437 20604 20771 20938 21105 21272 21439 21606 21773
## [6781] 21940 22107 22274 22441 22608 22775 22942 23109 23276 23440 23607 23774
## [6793] 23941 24108 24275 24442 24609 24776 24943 25110 25277 25444 25611 25778
## [6805] 25945 26112 26272 26439 26606 26773 26940 27107 27274 27441 27608 27775
## [6817] 27942 28109 28276 28443 28610 28777 28944 29111 29278 40 207 374
## [6829] 541 708 875 1042 1209 1376 1543 1710 1877 2044 2211 2378
## [6841] 2545 2712 2879 3046 3213 3380 3547 3714 3881 4048 4215 4382
## [6853] 4549 4716 4883 5050 5217 5384 5551 5718 5885 6052 6219 6386
## [6865] 6553 6720 6887 7054 7221 7388 7555 7722 7889 8056 8223 8390
## [6877] 8557 8724 8891 9058 9225 9392 9559 9726 9893 10060 10315 10482
## [6889] 10649 10816 10983 11150 11317 11484 11650 11817 11984 12151 12318 12485
## [6901] 12652 12819 12986 13153 13320 13487 13654 13821 13988 14155 14322 14489
## [6913] 14656 14823 14990 15157 15324 15491 15658 15825 15992 16159 16326 16598
## [6925] 16764 16931 17098 17265 17432 17599 17766 17933 18100 18267 18434 18601
## [6937] 18768 18935 19102 19269 19436 19603 19770 19937 20104 20271 20438 20605
## [6949] 20772 20939 21106 21273 21440 21607 21774 21941 22108 22275 22442 22609
## [6961] 22776 22943 23110 23277 23441 23608 23775 23942 24109 24276 24443 24610
## [6973] 24777 24944 25111 25278 25445 25612 25779 25946 26113 26273 26440 26607
## [6985] 26774 26941 27108 27275 27442 27609 27776 27943 28110 28277 28444 28611
## [6997] 28778 28945 29112 29279 41 208 375 542 709 876 1043 1210
## [7009] 1377 1544 1711 1878 2045 2212 2379 2546 2713 2880 3047 3214
## [7021] 3381 3548 3715 3882 4049 4216 4383 4550 4717 4884 5051 5218
## [7033] 5385 5552 5719 5886 6053 6220 6387 6554 6721 6888 7055 7222
## [7045] 7389 7556 7723 7890 8057 8224 8391 8558 8725 8892 9059 9226
## [7057] 9393 9560 9727 9894 10061 10316 10483 10650 10817 10984 11151 11318
## [7069] 11485 11651 11818 11985 12152 12319 12486 12653 12820 12987 13154 13321
## [7081] 13488 13655 13822 13989 14156 14323 14490 14657 14824 14991 15158 15325
## [7093] 15492 15659 15826 15993 16160 16327 16599 16765 16932 17099 17266 17433
## [7105] 17600 17767 17934 18101 18268 18435 18602 18769 18936 19103 19270 19437
## [7117] 19604 19771 19938 20105 20272 20439 20606 20773 20940 21107 21274 21441
## [7129] 21608 21775 21942 22109 22276 22443 22610 22777 22944 23111 23278 23442
## [7141] 23609 23776 23943 24110 24277 24444 24611 24778 24945 25112 25279 25446
## [7153] 25613 25780 25947 26114 26274 26441 26608 26775 26942 27109 27276 27443
## [7165] 27610 27777 27944 28111 28278 28445 28612 28779 28946 29113 29280 42
## [7177] 209 376 543 710 877 1044 1211 1378 1545 1712 1879 2046
## [7189] 2213 2380 2547 2714 2881 3048 3215 3382 3549 3716 3883 4050
## [7201] 4217 4384 4551 4718 4885 5052 5219 5386 5553 5720 5887 6054
## [7213] 6221 6388 6555 6722 6889 7056 7223 7390 7557 7724 7891 8058
## [7225] 8225 8392 8559 8726 8893 9060 9227 9394 9561 9728 9895 10062
## [7237] 10317 10484 10651 10818 10985 11152 11319 11486 11652 11819 11986 12153
## [7249] 12320 12487 12654 12821 12988 13155 13322 13489 13656 13823 13990 14157
## [7261] 14324 14491 14658 14825 14992 15159 15326 15493 15660 15827 15994 16161
## [7273] 16328 16600 16766 16933 17100 17267 17434 17601 17768 17935 18102 18269
## [7285] 18436 18603 18770 18937 19104 19271 19438 19605 19772 19939 20106 20273
## [7297] 20440 20607 20774 20941 21108 21275 21442 21609 21776 21943 22110 22277
## [7309] 22444 22611 22778 22945 23112 23279 23443 23610 23777 23944 24111 24278
## [7321] 24445 24612 24779 24946 25113 25280 25447 25614 25781 25948 26115 26275
## [7333] 26442 26609 26776 26943 27110 27277 27444 27611 27778 27945 28112 28279
## [7345] 28446 28613 28780 28947 29114 29281 43 210 377 544 711 878
## [7357] 1045 1212 1379 1546 1713 1880 2047 2214 2381 2548 2715 2882
## [7369] 3049 3216 3383 3550 3717 3884 4051 4218 4385 4552 4719 4886
## [7381] 5053 5220 5387 5554 5721 5888 6055 6222 6389 6556 6723 6890
## [7393] 7057 7224 7391 7558 7725 7892 8059 8226 8393 8560 8727 8894
## [7405] 9061 9228 9395 9562 9729 9896 10063 10318 10485 10652 10819 10986
## [7417] 11153 11320 11487 11653 11820 11987 12154 12321 12488 12655 12822 12989
## [7429] 13156 13323 13490 13657 13824 13991 14158 14325 14492 14659 14826 14993
## [7441] 15160 15327 15494 15661 15828 15995 16162 16329 16601 16767 16934 17101
## [7453] 17268 17435 17602 17769 17936 18103 18270 18437 18604 18771 18938 19105
## [7465] 19272 19439 19606 19773 19940 20107 20274 20441 20608 20775 20942 21109
## [7477] 21276 21443 21610 21777 21944 22111 22278 22445 22612 22779 22946 23113
## [7489] 23280 23444 23611 23778 23945 24112 24279 24446 24613 24780 24947 25114
## [7501] 25281 25448 25615 25782 25949 26116 26276 26443 26610 26777 26944 27111
## [7513] 27278 27445 27612 27779 27946 28113 28280 28447 28614 28781 28948 29115
## [7525] 29282 44 211 378 545 712 879 1046 1213 1380 1547 1714
## [7537] 1881 2048 2215 2382 2549 2716 2883 3050 3217 3384 3551 3718
## [7549] 3885 4052 4219 4386 4553 4720 4887 5054 5221 5388 5555 5722
## [7561] 5889 6056 6223 6390 6557 6724 6891 7058 7225 7392 7559 7726
## [7573] 7893 8060 8227 8394 8561 8728 8895 9062 9229 9396 9563 9730
## [7585] 9897 10064 10319 10486 10653 10820 10987 11154 11321 11488 11654 11821
## [7597] 11988 12155 12322 12489 12656 12823 12990 13157 13324 13491 13658 13825
## [7609] 13992 14159 14326 14493 14660 14827 14994 15161 15328 15495 15662 15829
## [7621] 15996 16163 16330 16602 16768 16935 17102 17269 17436 17603 17770 17937
## [7633] 18104 18271 18438 18605 18772 18939 19106 19273 19440 19607 19774 19941
## [7645] 20108 20275 20442 20609 20776 20943 21110 21277 21444 21611 21778 21945
## [7657] 22112 22279 22446 22613 22780 22947 23114 23281 23445 23612 23779 23946
## [7669] 24113 24280 24447 24614 24781 24948 25115 25282 25449 25616 25783 25950
## [7681] 26117 26277 26444 26611 26778 26945 27112 27279 27446 27613 27780 27947
## [7693] 28114 28281 28448 28615 28782 28949 29116 29283 45 212 379 546
## [7705] 713 880 1047 1214 1381 1548 1715 1882 2049 2216 2383 2550
## [7717] 2717 2884 3051 3218 3385 3552 3719 3886 4053 4220 4387 4554
## [7729] 4721 4888 5055 5222 5389 5556 5723 5890 6057 6224 6391 6558
## [7741] 6725 6892 7059 7226 7393 7560 7727 7894 8061 8228 8395 8562
## [7753] 8729 8896 9063 9230 9397 9564 9731 9898 10065 10320 10487 10654
## [7765] 10821 10988 11155 11322 11489 11655 11822 11989 12156 12323 12490 12657
## [7777] 12824 12991 13158 13325 13492 13659 13826 13993 14160 14327 14494 14661
## [7789] 14828 14995 15162 15329 15496 15663 15830 15997 16164 16331 16603 16769
## [7801] 16936 17103 17270 17437 17604 17771 17938 18105 18272 18439 18606 18773
## [7813] 18940 19107 19274 19441 19608 19775 19942 20109 20276 20443 20610 20777
## [7825] 20944 21111 21278 21445 21612 21779 21946 22113 22280 22447 22614 22781
## [7837] 22948 23115 23282 23446 23613 23780 23947 24114 24281 24448 24615 24782
## [7849] 24949 25116 25283 25450 25617 25784 25951 26118 26278 26445 26612 26779
## [7861] 26946 27113 27280 27447 27614 27781 27948 28115 28282 28449 28616 28783
## [7873] 28950 29117 29284 46 213 380 547 714 881 1048 1215 1382
## [7885] 1549 1716 1883 2050 2217 2384 2551 2718 2885 3052 3219 3386
## [7897] 3553 3720 3887 4054 4221 4388 4555 4722 4889 5056 5223 5390
## [7909] 5557 5724 5891 6058 6225 6392 6559 6726 6893 7060 7227 7394
## [7921] 7561 7728 7895 8062 8229 8396 8563 8730 8897 9064 9231 9398
## [7933] 9565 9732 9899 10066 10321 10488 10655 10822 10989 11156 11323 11490
## [7945] 11656 11823 11990 12157 12324 12491 12658 12825 12992 13159 13326 13493
## [7957] 13660 13827 13994 14161 14328 14495 14662 14829 14996 15163 15330 15497
## [7969] 15664 15831 15998 16165 16332 16604 16770 16937 17104 17271 17438 17605
## [7981] 17772 17939 18106 18273 18440 18607 18774 18941 19108 19275 19442 19609
## [7993] 19776 19943 20110 20277 20444 20611 20778 20945 21112 21279 21446 21613
## [8005] 21780 21947 22114 22281 22448 22615 22782 22949 23116 23283 23447 23614
## [8017] 23781 23948 24115 24282 24449 24616 24783 24950 25117 25284 25451 25618
## [8029] 25785 25952 26119 26279 26446 26613 26780 26947 27114 27281 27448 27615
## [8041] 27782 27949 28116 28283 28450 28617 28784 28951 29118 29285 47 214
## [8053] 381 548 715 882 1049 1216 1383 1550 1717 1884 2051 2218
## [8065] 2385 2552 2719 2886 3053 3220 3387 3554 3721 3888 4055 4222
## [8077] 4389 4556 4723 4890 5057 5224 5391 5558 5725 5892 6059 6226
## [8089] 6393 6560 6727 6894 7061 7228 7395 7562 7729 7896 8063 8230
## [8101] 8397 8564 8731 8898 9065 9232 9399 9566 9733 9900 10067 10322
## [8113] 10489 10656 10823 10990 11157 11324 11491 11657 11824 11991 12158 12325
## [8125] 12492 12659 12826 12993 13160 13327 13494 13661 13828 13995 14162 14329
## [8137] 14496 14663 14830 14997 15164 15331 15498 15665 15832 15999 16166 16333
## [8149] 16605 16771 16938 17105 17272 17439 17606 17773 17940 18107 18274 18441
## [8161] 18608 18775 18942 19109 19276 19443 19610 19777 19944 20111 20278 20445
## [8173] 20612 20779 20946 21113 21280 21447 21614 21781 21948 22115 22282 22449
## [8185] 22616 22783 22950 23117 23284 23448 23615 23782 23949 24116 24283 24450
## [8197] 24617 24784 24951 25118 25285 25452 25619 25786 25953 26120 26280 26447
## [8209] 26614 26781 26948 27115 27282 27449 27616 27783 27950 28117 28284 28451
## [8221] 28618 28785 28952 29119 29286 48 215 382 549 716 883 1050
## [8233] 1217 1384 1551 1718 1885 2052 2219 2386 2553 2720 2887 3054
## [8245] 3221 3388 3555 3722 3889 4056 4223 4390 4557 4724 4891 5058
## [8257] 5225 5392 5559 5726 5893 6060 6227 6394 6561 6728 6895 7062
## [8269] 7229 7396 7563 7730 7897 8064 8231 8398 8565 8732 8899 9066
## [8281] 9233 9400 9567 9734 9901 10068 10323 10490 10657 10824 10991 11158
## [8293] 11325 11492 11658 11825 11992 12159 12326 12493 12660 12827 12994 13161
## [8305] 13328 13495 13662 13829 13996 14163 14330 14497 14664 14831 14998 15165
## [8317] 15332 15499 15666 15833 16000 16167 16334 16606 16772 16939 17106 17273
## [8329] 17440 17607 17774 17941 18108 18275 18442 18609 18776 18943 19110 19277
## [8341] 19444 19611 19778 19945 20112 20279 20446 20613 20780 20947 21114 21281
## [8353] 21448 21615 21782 21949 22116 22283 22450 22617 22784 22951 23118 23285
## [8365] 23449 23616 23783 23950 24117 24284 24451 24618 24785 24952 25119 25286
## [8377] 25453 25620 25787 25954 26121 26281 26448 26615 26782 26949 27116 27283
## [8389] 27450 27617 27784 27951 28118 28285 28452 28619 28786 28953 29120 29287
## [8401] 49 216 383 550 717 884 1051 1218 1385 1552 1719 1886
## [8413] 2053 2220 2387 2554 2721 2888 3055 3222 3389 3556 3723 3890
## [8425] 4057 4224 4391 4558 4725 4892 5059 5226 5393 5560 5727 5894
## [8437] 6061 6228 6395 6562 6729 6896 7063 7230 7397 7564 7731 7898
## [8449] 8065 8232 8399 8566 8733 8900 9067 9234 9401 9568 9735 9902
## [8461] 10069 10324 10491 10658 10825 10992 11159 11326 11493 11659 11826 11993
## [8473] 12160 12327 12494 12661 12828 12995 13162 13329 13496 13663 13830 13997
## [8485] 14164 14331 14498 14665 14832 14999 15166 15333 15500 15667 15834 16001
## [8497] 16168 16335 16607 16773 16940 17107 17274 17441 17608 17775 17942 18109
## [8509] 18276 18443 18610 18777 18944 19111 19278 19445 19612 19779 19946 20113
## [8521] 20280 20447 20614 20781 20948 21115 21282 21449 21616 21783 21950 22117
## [8533] 22284 22451 22618 22785 22952 23119 23286 23450 23617 23784 23951 24118
## [8545] 24285 24452 24619 24786 24953 25120 25287 25454 25621 25788 25955 26122
## [8557] 26282 26449 26616 26783 26950 27117 27284 27451 27618 27785 27952 28119
## [8569] 28286 28453 28620 28787 28954 29121 29288 50 217 384 551 718
## [8581] 885 1052 1219 1386 1553 1720 1887 2054 2221 2388 2555 2722
## [8593] 2889 3056 3223 3390 3557 3724 3891 4058 4225 4392 4559 4726
## [8605] 4893 5060 5227 5394 5561 5728 5895 6062 6229 6396 6563 6730
## [8617] 6897 7064 7231 7398 7565 7732 7899 8066 8233 8400 8567 8734
## [8629] 8901 9068 9235 9402 9569 9736 9903 10070 10325 10492 10659 10826
## [8641] 10993 11160 11327 11494 11660 11827 11994 12161 12328 12495 12662 12829
## [8653] 12996 13163 13330 13497 13664 13831 13998 14165 14332 14499 14666 14833
## [8665] 15000 15167 15334 15501 15668 15835 16002 16169 16336 16608 16774 16941
## [8677] 17108 17275 17442 17609 17776 17943 18110 18277 18444 18611 18778 18945
## [8689] 19112 19279 19446 19613 19780 19947 20114 20281 20448 20615 20782 20949
## [8701] 21116 21283 21450 21617 21784 21951 22118 22285 22452 22619 22786 22953
## [8713] 23120 23287 23451 23618 23785 23952 24119 24286 24453 24620 24787 24954
## [8725] 25121 25288 25455 25622 25789 25956 26123 26283 26450 26617 26784 26951
## [8737] 27118 27285 27452 27619 27786 27953 28120 28287 28454 28621 28788 28955
## [8749] 29122 29289 51 218 385 552 719 886 1053 1220 1387 1554
## [8761] 1721 1888 2055 2222 2389 2556 2723 2890 3057 3224 3391 3558
## [8773] 3725 3892 4059 4226 4393 4560 4727 4894 5061 5228 5395 5562
## [8785] 5729 5896 6063 6230 6397 6564 6731 6898 7065 7232 7399 7566
## [8797] 7733 7900 8067 8234 8401 8568 8735 8902 9069 9236 9403 9570
## [8809] 9737 9904 10071 10326 10493 10660 10827 10994 11161 11328 11495 11661
## [8821] 11828 11995 12162 12329 12496 12663 12830 12997 13164 13331 13498 13665
## [8833] 13832 13999 14166 14333 14500 14667 14834 15001 15168 15335 15502 15669
## [8845] 15836 16003 16170 16337 16609 16775 16942 17109 17276 17443 17610 17777
## [8857] 17944 18111 18278 18445 18612 18779 18946 19113 19280 19447 19614 19781
## [8869] 19948 20115 20282 20449 20616 20783 20950 21117 21284 21451 21618 21785
## [8881] 21952 22119 22286 22453 22620 22787 22954 23121 23288 23452 23619 23786
## [8893] 23953 24120 24287 24454 24621 24788 24955 25122 25289 25456 25623 25790
## [8905] 25957 26124 26284 26451 26618 26785 26952 27119 27286 27453 27620 27787
## [8917] 27954 28121 28288 28455 28622 28789 28956 29123 29290 52 219 386
## [8929] 553 720 887 1054 1221 1388 1555 1722 1889 2056 2223 2390
## [8941] 2557 2724 2891 3058 3225 3392 3559 3726 3893 4060 4227 4394
## [8953] 4561 4728 4895 5062 5229 5396 5563 5730 5897 6064 6231 6398
## [8965] 6565 6732 6899 7066 7233 7400 7567 7734 7901 8068 8235 8402
## [8977] 8569 8736 8903 9070 9237 9404 9571 9738 9905 10072 10327 10494
## [8989] 10661 10828 10995 11162 11329 11496 11662 11829 11996 12163 12330 12497
## [9001] 12664 12831 12998 13165 13332 13499 13666 13833 14000 14167 14334 14501
## [9013] 14668 14835 15002 15169 15336 15503 15670 15837 16004 16171 16338 16610
## [9025] 16776 16943 17110 17277 17444 17611 17778 17945 18112 18279 18446 18613
## [9037] 18780 18947 19114 19281 19448 19615 19782 19949 20116 20283 20450 20617
## [9049] 20784 20951 21118 21285 21452 21619 21786 21953 22120 22287 22454 22621
## [9061] 22788 22955 23122 23289 23453 23620 23787 23954 24121 24288 24455 24622
## [9073] 24789 24956 25123 25290 25457 25624 25791 25958 26125 26285 26452 26619
## [9085] 26786 26953 27120 27287 27454 27621 27788 27955 28122 28289 28456 28623
## [9097] 28790 28957 29124 29291 53 220 387 554 721 888 1055 1222
## [9109] 1389 1556 1723 1890 2057 2224 2391 2558 2725 2892 3059 3226
## [9121] 3393 3560 3727 3894 4061 4228 4395 4562 4729 4896 5063 5230
## [9133] 5397 5564 5731 5898 6065 6232 6399 6566 6733 6900 7067 7234
## [9145] 7401 7568 7735 7902 8069 8236 8403 8570 8737 8904 9071 9238
## [9157] 9405 9572 9739 9906 10073 10328 10495 10662 10829 10996 11163 11330
## [9169] 11497 11663 11830 11997 12164 12331 12498 12665 12832 12999 13166 13333
## [9181] 13500 13667 13834 14001 14168 14335 14502 14669 14836 15003 15170 15337
## [9193] 15504 15671 15838 16005 16172 16339 16611 16777 16944 17111 17278 17445
## [9205] 17612 17779 17946 18113 18280 18447 18614 18781 18948 19115 19282 19449
## [9217] 19616 19783 19950 20117 20284 20451 20618 20785 20952 21119 21286 21453
## [9229] 21620 21787 21954 22121 22288 22455 22622 22789 22956 23123 23290 23454
## [9241] 23621 23788 23955 24122 24289 24456 24623 24790 24957 25124 25291 25458
## [9253] 25625 25792 25959 26126 26286 26453 26620 26787 26954 27121 27288 27455
## [9265] 27622 27789 27956 28123 28290 28457 28624 28791 28958 29125 29292 54
## [9277] 221 388 555 722 889 1056 1223 1390 1557 1724 1891 2058
## [9289] 2225 2392 2559 2726 2893 3060 3227 3394 3561 3728 3895 4062
## [9301] 4229 4396 4563 4730 4897 5064 5231 5398 5565 5732 5899 6066
## [9313] 6233 6400 6567 6734 6901 7068 7235 7402 7569 7736 7903 8070
## [9325] 8237 8404 8571 8738 8905 9072 9239 9406 9573 9740 9907 10074
## [9337] 10329 10496 10663 10830 10997 11164 11331 11498 11664 11831 11998 12165
## [9349] 12332 12499 12666 12833 13000 13167 13334 13501 13668 13835 14002 14169
## [9361] 14336 14503 14670 14837 15004 15171 15338 15505 15672 15839 16006 16173
## [9373] 16340 16612 16778 16945 17112 17279 17446 17613 17780 17947 18114 18281
## [9385] 18448 18615 18782 18949 19116 19283 19450 19617 19784 19951 20118 20285
## [9397] 20452 20619 20786 20953 21120 21287 21454 21621 21788 21955 22122 22289
## [9409] 22456 22623 22790 22957 23124 23291 23455 23622 23789 23956 24123 24290
## [9421] 24457 24624 24791 24958 25125 25292 25459 25626 25793 25960 26127 26287
## [9433] 26454 26621 26788 26955 27122 27289 27456 27623 27790 27957 28124 28291
## [9445] 28458 28625 28792 28959 29126 29293 55 222 389 556 723 890
## [9457] 1057 1224 1391 1558 1725 1892 2059 2226 2393 2560 2727 2894
## [9469] 3061 3228 3395 3562 3729 3896 4063 4230 4397 4564 4731 4898
## [9481] 5065 5232 5399 5566 5733 5900 6067 6234 6401 6568 6735 6902
## [9493] 7069 7236 7403 7570 7737 7904 8071 8238 8405 8572 8739 8906
## [9505] 9073 9240 9407 9574 9741 9908 10075 10330 10497 10664 10831 10998
## [9517] 11165 11332 11499 11665 11832 11999 12166 12333 12500 12667 12834 13001
## [9529] 13168 13335 13502 13669 13836 14003 14170 14337 14504 14671 14838 15005
## [9541] 15172 15339 15506 15673 15840 16007 16174 16341 16613 16779 16946 17113
## [9553] 17280 17447 17614 17781 17948 18115 18282 18449 18616 18783 18950 19117
## [9565] 19284 19451 19618 19785 19952 20119 20286 20453 20620 20787 20954 21121
## [9577] 21288 21455 21622 21789 21956 22123 22290 22457 22624 22791 22958 23125
## [9589] 23292 23456 23623 23790 23957 24124 24291 24458 24625 24792 24959 25126
## [9601] 25293 25460 25627 25794 25961 26128 26288 26455 26622 26789 26956 27123
## [9613] 27290 27457 27624 27791 27958 28125 28292 28459 28626 28793 28960 29127
## [9625] 29294 56 223 390 557 724 891 1058 1225 1392 1559 1726
## [9637] 1893 2060 2227 2394 2561 2728 2895 3062 3229 3396 3563 3730
## [9649] 3897 4064 4231 4398 4565 4732 4899 5066 5233 5400 5567 5734
## [9661] 5901 6068 6235 6402 6569 6736 6903 7070 7237 7404 7571 7738
## [9673] 7905 8072 8239 8406 8573 8740 8907 9074 9241 9408 9575 9742
## [9685] 9909 10076 10331 10498 10665 10832 10999 11166 11333 11500 11666 11833
## [9697] 12000 12167 12334 12501 12668 12835 13002 13169 13336 13503 13670 13837
## [9709] 14004 14171 14338 14505 14672 14839 15006 15173 15340 15507 15674 15841
## [9721] 16008 16175 16342 16614 16780 16947 17114 17281 17448 17615 17782 17949
## [9733] 18116 18283 18450 18617 18784 18951 19118 19285 19452 19619 19786 19953
## [9745] 20120 20287 20454 20621 20788 20955 21122 21289 21456 21623 21790 21957
## [9757] 22124 22291 22458 22625 22792 22959 23126 23293 23457 23624 23791 23958
## [9769] 24125 24292 24459 24626 24793 24960 25127 25294 25461 25628 25795 25962
## [9781] 26129 26289 26456 26623 26790 26957 27124 27291 27458 27625 27792 27959
## [9793] 28126 28293 28460 28627 28794 28961 29128 29295 57 224 391 558
## [9805] 725 892 1059 1226 1393 1560 1727 1894 2061 2228 2395 2562
## [9817] 2729 2896 3063 3230 3397 3564 3731 3898 4065 4232 4399 4566
## [9829] 4733 4900 5067 5234 5401 5568 5735 5902 6069 6236 6403 6570
## [9841] 6737 6904 7071 7238 7405 7572 7739 7906 8073 8240 8407 8574
## [9853] 8741 8908 9075 9242 9409 9576 9743 9910 10077 10332 10499 10666
## [9865] 10833 11000 11167 11334 11501 11667 11834 12001 12168 12335 12502 12669
## [9877] 12836 13003 13170 13337 13504 13671 13838 14005 14172 14339 14506 14673
## [9889] 14840 15007 15174 15341 15508 15675 15842 16009 16176 16343 16615 16781
## [9901] 16948 17115 17282 17449 17616 17783 17950 18117 18284 18451 18618 18785
## [9913] 18952 19119 19286 19453 19620 19787 19954 20121 20288 20455 20622 20789
## [9925] 20956 21123 21290 21457 21624 21791 21958 22125 22292 22459 22626 22793
## [9937] 22960 23127 23294 23458 23625 23792 23959 24126 24293 24460 24627 24794
## [9949] 24961 25128 25295 25462 25629 25796 25963 26130 26290 26457 26624 26791
## [9961] 26958 27125 27292 27459 27626 27793 27960 28127 28294 28461 28628 28795
## [9973] 28962 29129 29296 58 225 392 559 726 893 1060 1227 1394
## [9985] 1561 1728 1895 2062 2229 2396 2563 2730 2897 3064 3231 3398
## [9997] 3565 3732 3899 4066 4233 4400 4567 4734 4901 5068 5235 5402
## [10009] 5569 5736 5903 6070 6237 6404 6571 6738 6905 7072 7239 7406
## [10021] 7573 7740 7907 8074 8241 8408 8575 8742 8909 9076 9243 9410
## [10033] 9577 9744 9911 10078 10333 10500 10667 10834 11001 11168 11335 11502
## [10045] 11668 11835 12002 12169 12336 12503 12670 12837 13004 13171 13338 13505
## [10057] 13672 13839 14006 14173 14340 14507 14674 14841 15008 15175 15342 15509
## [10069] 15676 15843 16010 16177 16344 16616 16782 16949 17116 17283 17450 17617
## [10081] 17784 17951 18118 18285 18452 18619 18786 18953 19120 19287 19454 19621
## [10093] 19788 19955 20122 20289 20456 20623 20790 20957 21124 21291 21458 21625
## [10105] 21792 21959 22126 22293 22460 22627 22794 22961 23128 23295 23459 23626
## [10117] 23793 23960 24127 24294 24461 24628 24795 24962 25129 25296 25463 25630
## [10129] 25797 25964 26131 26291 26458 26625 26792 26959 27126 27293 27460 27627
## [10141] 27794 27961 28128 28295 28462 28629 28796 28963 29130 29297 59 226
## [10153] 393 560 727 894 1061 1228 1395 1562 1729 1896 2063 2230
## [10165] 2397 2564 2731 2898 3065 3232 3399 3566 3733 3900 4067 4234
## [10177] 4401 4568 4735 4902 5069 5236 5403 5570 5737 5904 6071 6238
## [10189] 6405 6572 6739 6906 7073 7240 7407 7574 7741 7908 8075 8242
## [10201] 8409 8576 8743 8910 9077 9244 9411 9578 9745 9912 10079 10334
## [10213] 10501 10668 10835 11002 11169 11336 11503 11669 11836 12003 12170 12337
## [10225] 12504 12671 12838 13005 13172 13339 13506 13673 13840 14007 14174 14341
## [10237] 14508 14675 14842 15009 15176 15343 15510 15677 15844 16011 16178 16345
## [10249] 16617 16783 16950 17117 17284 17451 17618 17785 17952 18119 18286 18453
## [10261] 18620 18787 18954 19121 19288 19455 19622 19789 19956 20123 20290 20457
## [10273] 20624 20791 20958 21125 21292 21459 21626 21793 21960 22127 22294 22461
## [10285] 22628 22795 22962 23129 23296 23460 23627 23794 23961 24128 24295 24462
## [10297] 24629 24796 24963 25130 25297 25464 25631 25798 25965 26132 26292 26459
## [10309] 26626 26793 26960 27127 27294 27461 27628 27795 27962 28129 28296 28463
## [10321] 28630 28797 28964 29131 29298 60 227 394 561 728 895 1062
## [10333] 1229 1396 1563 1730 1897 2064 2231 2398 2565 2732 2899 3066
## [10345] 3233 3400 3567 3734 3901 4068 4235 4402 4569 4736 4903 5070
## [10357] 5237 5404 5571 5738 5905 6072 6239 6406 6573 6740 6907 7074
## [10369] 7241 7408 7575 7742 7909 8076 8243 8410 8577 8744 8911 9078
## [10381] 9245 9412 9579 9746 9913 10080 10335 10502 10669 10836 11003 11170
## [10393] 11337 11504 11670 11837 12004 12171 12338 12505 12672 12839 13006 13173
## [10405] 13340 13507 13674 13841 14008 14175 14342 14509 14676 14843 15010 15177
## [10417] 15344 15511 15678 15845 16012 16179 16346 16618 16784 16951 17118 17285
## [10429] 17452 17619 17786 17953 18120 18287 18454 18621 18788 18955 19122 19289
## [10441] 19456 19623 19790 19957 20124 20291 20458 20625 20792 20959 21126 21293
## [10453] 21460 21627 21794 21961 22128 22295 22462 22629 22796 22963 23130 23297
## [10465] 23461 23628 23795 23962 24129 24296 24463 24630 24797 24964 25131 25298
## [10477] 25465 25632 25799 25966 26133 26293 26460 26627 26794 26961 27128 27295
## [10489] 27462 27629 27796 27963 28130 28297 28464 28631 28798 28965 29132 29299
## [10501] 61 228 395 562 729 896 1063 1230 1397 1564 1731 1898
## [10513] 2065 2232 2399 2566 2733 2900 3067 3234 3401 3568 3735 3902
## [10525] 4069 4236 4403 4570 4737 4904 5071 5238 5405 5572 5739 5906
## [10537] 6073 6240 6407 6574 6741 6908 7075 7242 7409 7576 7743 7910
## [10549] 8077 8244 8411 8578 8745 8912 9079 9246 9413 9580 9747 9914
## [10561] 10081 10336 10503 10670 10837 11004 11171 11338 11505 11671 11838 12005
## [10573] 12172 12339 12506 12673 12840 13007 13174 13341 13508 13675 13842 14009
## [10585] 14176 14343 14510 14677 14844 15011 15178 15345 15512 15679 15846 16013
## [10597] 16180 16347 16619 16785 16952 17119 17286 17453 17620 17787 17954 18121
## [10609] 18288 18455 18622 18789 18956 19123 19290 19457 19624 19791 19958 20125
## [10621] 20292 20459 20626 20793 20960 21127 21294 21461 21628 21795 21962 22129
## [10633] 22296 22463 22630 22797 22964 23131 23298 23462 23629 23796 23963 24130
## [10645] 24297 24464 24631 24798 24965 25132 25299 25466 25633 25800 25967 26134
## [10657] 26294 26461 26628 26795 26962 27129 27296 27463 27630 27797 27964 28131
## [10669] 28298 28465 28632 28799 28966 29133 29300 62 229 396 563 730
## [10681] 897 1064 1231 1398 1565 1732 1899 2066 2233 2400 2567 2734
## [10693] 2901 3068 3235 3402 3569 3736 3903 4070 4237 4404 4571 4738
## [10705] 4905 5072 5239 5406 5573 5740 5907 6074 6241 6408 6575 6742
## [10717] 6909 7076 7243 7410 7577 7744 7911 8078 8245 8412 8579 8746
## [10729] 8913 9080 9247 9414 9581 9748 9915 10082 10337 10504 10671 10838
## [10741] 11005 11172 11339 11506 11672 11839 12006 12173 12340 12507 12674 12841
## [10753] 13008 13175 13342 13509 13676 13843 14010 14177 14344 14511 14678 14845
## [10765] 15012 15179 15346 15513 15680 15847 16014 16181 16348 16620 16786 16953
## [10777] 17120 17287 17454 17621 17788 17955 18122 18289 18456 18623 18790 18957
## [10789] 19124 19291 19458 19625 19792 19959 20126 20293 20460 20627 20794 20961
## [10801] 21128 21295 21462 21629 21796 21963 22130 22297 22464 22631 22798 22965
## [10813] 23132 23299 23463 23630 23797 23964 24131 24298 24465 24632 24799 24966
## [10825] 25133 25300 25467 25634 25801 25968 26135 26295 26462 26629 26796 26963
## [10837] 27130 27297 27464 27631 27798 27965 28132 28299 28466 28633 28800 28967
## [10849] 29134 29301 63 230 397 564 731 898 1065 1232 1399 1566
## [10861] 1733 1900 2067 2234 2401 2568 2735 2902 3069 3236 3403 3570
## [10873] 3737 3904 4071 4238 4405 4572 4739 4906 5073 5240 5407 5574
## [10885] 5741 5908 6075 6242 6409 6576 6743 6910 7077 7244 7411 7578
## [10897] 7745 7912 8079 8246 8413 8580 8747 8914 9081 9248 9415 9582
## [10909] 9749 9916 10083 10338 10505 10672 10839 11006 11173 11340 11507 11673
## [10921] 11840 12007 12174 12341 12508 12675 12842 13009 13176 13343 13510 13677
## [10933] 13844 14011 14178 14345 14512 14679 14846 15013 15180 15347 15514 15681
## [10945] 15848 16015 16182 16349 16454 16621 16787 16954 17121 17288 17455 17622
## [10957] 17789 17956 18123 18290 18457 18624 18791 18958 19125 19292 19459 19626
## [10969] 19793 19960 20127 20294 20461 20628 20795 20962 21129 21296 21463 21630
## [10981] 21797 21964 22131 22298 22465 22632 22799 22966 23133 23300 23464 23631
## [10993] 23798 23965 24132 24299 24466 24633 24800 24967 25134 25301 25468 25635
## [11005] 25802 25969 26136 26296 26463 26630 26797 26964 27131 27298 27465 27632
## [11017] 27799 27966 28133 28300 28467 28634 28801 28968 29135 29302 64 231
## [11029] 398 565 732 899 1066 1233 1400 1567 1734 1901 2068 2235
## [11041] 2402 2569 2736 2903 3070 3237 3404 3571 3738 3905 4072 4239
## [11053] 4406 4573 4740 4907 5074 5241 5408 5575 5742 5909 6076 6243
## [11065] 6410 6577 6744 6911 7078 7245 7412 7579 7746 7913 8080 8247
## [11077] 8414 8581 8748 8915 9082 9249 9416 9583 9750 9917 10084 10339
## [11089] 10506 10673 10840 11007 11174 11341 11508 11674 11841 12008 12175 12342
## [11101] 12509 12676 12843 13010 13177 13344 13511 13678 13845 14012 14179 14346
## [11113] 14513 14680 14847 15014 15181 15348 15515 15682 15849 16016 16183 16350
## [11125] 16455 16622 16788 16955 17122 17289 17456 17623 17790 17957 18124 18291
## [11137] 18458 18625 18792 18959 19126 19293 19460 19627 19794 19961 20128 20295
## [11149] 20462 20629 20796 20963 21130 21297 21464 21631 21798 21965 22132 22299
## [11161] 22466 22633 22800 22967 23134 23301 23465 23632 23799 23966 24133 24300
## [11173] 24467 24634 24801 24968 25135 25302 25469 25636 25803 25970 26137 26297
## [11185] 26464 26631 26798 26965 27132 27299 27466 27633 27800 27967 28134 28301
## [11197] 28468 28635 28802 28969 29136 29303 65 232 399 566 733 900
## [11209] 1067 1234 1401 1568 1735 1902 2069 2236 2403 2570 2737 2904
## [11221] 3071 3238 3405 3572 3739 3906 4073 4240 4407 4574 4741 4908
## [11233] 5075 5242 5409 5576 5743 5910 6077 6244 6411 6578 6745 6912
## [11245] 7079 7246 7413 7580 7747 7914 8081 8248 8415 8582 8749 8916
## [11257] 9083 9250 9417 9584 9751 9918 10085 10340 10507 10674 10841 11008
## [11269] 11175 11342 11509 11675 11842 12009 12176 12343 12510 12677 12844 13011
## [11281] 13178 13345 13512 13679 13846 14013 14180 14347 14514 14681 14848 15015
## [11293] 15182 15349 15516 15683 15850 16017 16184 16351 16456 16623 16789 16956
## [11305] 17123 17290 17457 17624 17791 17958 18125 18292 18459 18626 18793 18960
## [11317] 19127 19294 19461 19628 19795 19962 20129 20296 20463 20630 20797 20964
## [11329] 21131 21298 21465 21632 21799 21966 22133 22300 22467 22634 22801 22968
## [11341] 23135 23302 23466 23633 23800 23967 24134 24301 24468 24635 24802 24969
## [11353] 25136 25303 25470 25637 25804 25971 26138 26298 26465 26632 26799 26966
## [11365] 27133 27300 27467 27634 27801 27968 28135 28302 28469 28636 28803 28970
## [11377] 29137 29304 66 233 400 567 734 901 1068 1235 1402 1569
## [11389] 1736 1903 2070 2237 2404 2571 2738 2905 3072 3239 3406 3573
## [11401] 3740 3907 4074 4241 4408 4575 4742 4909 5076 5243 5410 5577
## [11413] 5744 5911 6078 6245 6412 6579 6746 6913 7080 7247 7414 7581
## [11425] 7748 7915 8082 8249 8416 8583 8750 8917 9084 9251 9418 9585
## [11437] 9752 9919 10086 10341 10508 10675 10842 11009 11176 11343 11510 11676
## [11449] 11843 12010 12177 12344 12511 12678 12845 13012 13179 13346 13513 13680
## [11461] 13847 14014 14181 14348 14515 14682 14849 15016 15183 15350 15517 15684
## [11473] 15851 16018 16185 16352 16457 16624 16790 16957 17124 17291 17458 17625
## [11485] 17792 17959 18126 18293 18460 18627 18794 18961 19128 19295 19462 19629
## [11497] 19796 19963 20130 20297 20464 20631 20798 20965 21132 21299 21466 21633
## [11509] 21800 21967 22134 22301 22468 22635 22802 22969 23136 23303 23467 23634
## [11521] 23801 23968 24135 24302 24469 24636 24803 24970 25137 25304 25471 25638
## [11533] 25805 25972 26139 26299 26466 26633 26800 26967 27134 27301 27468 27635
## [11545] 27802 27969 28136 28303 28470 28637 28804 28971 29138 29305 67 234
## [11557] 401 568 735 902 1069 1236 1403 1570 1737 1904 2071 2238
## [11569] 2405 2572 2739 2906 3073 3240 3407 3574 3741 3908 4075 4242
## [11581] 4409 4576 4743 4910 5077 5244 5411 5578 5745 5912 6079 6246
## [11593] 6413 6580 6747 6914 7081 7248 7415 7582 7749 7916 8083 8250
## [11605] 8417 8584 8751 8918 9085 9252 9419 9586 9753 9920 10087 10342
## [11617] 10509 10676 10843 11010 11177 11344 11511 11677 11844 12011 12178 12345
## [11629] 12512 12679 12846 13013 13180 13347 13514 13681 13848 14015 14182 14349
## [11641] 14516 14683 14850 15017 15184 15351 15518 15685 15852 16019 16186 16353
## [11653] 16458 16625 16791 16958 17125 17292 17459 17626 17793 17960 18127 18294
## [11665] 18461 18628 18795 18962 19129 19296 19463 19630 19797 19964 20131 20298
## [11677] 20465 20632 20799 20966 21133 21300 21467 21634 21801 21968 22135 22302
## [11689] 22469 22636 22803 22970 23137 23304 23468 23635 23802 23969 24136 24303
## [11701] 24470 24637 24804 24971 25138 25305 25472 25639 25806 25973 26140 26300
## [11713] 26467 26634 26801 26968 27135 27302 27469 27636 27803 27970 28137 28304
## [11725] 28471 28638 28805 28972 29139 29306 68 235 402 569 736 903
## [11737] 1070 1237 1404 1571 1738 1905 2072 2239 2406 2573 2740 2907
## [11749] 3074 3241 3408 3575 3742 3909 4076 4243 4410 4577 4744 4911
## [11761] 5078 5245 5412 5579 5746 5913 6080 6247 6414 6581 6748 6915
## [11773] 7082 7249 7416 7583 7750 7917 8084 8251 8418 8585 8752 8919
## [11785] 9086 9253 9420 9587 9754 9921 10088 10343 10510 10677 10844 11011
## [11797] 11178 11345 11512 11678 11845 12012 12179 12346 12513 12680 12847 13014
## [11809] 13181 13348 13515 13682 13849 14016 14183 14350 14517 14684 14851 15018
## [11821] 15185 15352 15519 15686 15853 16020 16187 16354 16459 16626 16792 16959
## [11833] 17126 17293 17460 17627 17794 17961 18128 18295 18462 18629 18796 18963
## [11845] 19130 19297 19464 19631 19798 19965 20132 20299 20466 20633 20800 20967
## [11857] 21134 21301 21468 21635 21802 21969 22136 22303 22470 22637 22804 22971
## [11869] 23138 23305 23469 23636 23803 23970 24137 24304 24471 24638 24805 24972
## [11881] 25139 25306 25473 25640 25807 25974 26141 26301 26468 26635 26802 26969
## [11893] 27136 27303 27470 27637 27804 27971 28138 28305 28472 28639 28806 28973
## [11905] 29140 29307 69 236 403 570 737 904 1071 1238 1405 1572
## [11917] 1739 1906 2073 2240 2407 2574 2741 2908 3075 3242 3409 3576
## [11929] 3743 3910 4077 4244 4411 4578 4745 4912 5079 5246 5413 5580
## [11941] 5747 5914 6081 6248 6415 6582 6749 6916 7083 7250 7417 7584
## [11953] 7751 7918 8085 8252 8419 8586 8753 8920 9087 9254 9421 9588
## [11965] 9755 9922 10089 10344 10511 10678 10845 11012 11179 11346 11513 11679
## [11977] 11846 12013 12180 12347 12514 12681 12848 13015 13182 13349 13516 13683
## [11989] 13850 14017 14184 14351 14518 14685 14852 15019 15186 15353 15520 15687
## [12001] 15854 16021 16188 16355 16460 16627 16793 16960 17127 17294 17461 17628
## [12013] 17795 17962 18129 18296 18463 18630 18797 18964 19131 19298 19465 19632
## [12025] 19799 19966 20133 20300 20467 20634 20801 20968 21135 21302 21469 21636
## [12037] 21803 21970 22137 22304 22471 22638 22805 22972 23139 23306 23470 23637
## [12049] 23804 23971 24138 24305 24472 24639 24806 24973 25140 25307 25474 25641
## [12061] 25808 25975 26142 26302 26469 26636 26803 26970 27137 27304 27471 27638
## [12073] 27805 27972 28139 28306 28473 28640 28807 28974 29141 29308 70 237
## [12085] 404 571 738 905 1072 1239 1406 1573 1740 1907 2074 2241
## [12097] 2408 2575 2742 2909 3076 3243 3410 3577 3744 3911 4078 4245
## [12109] 4412 4579 4746 4913 5080 5247 5414 5581 5748 5915 6082 6249
## [12121] 6416 6583 6750 6917 7084 7251 7418 7585 7752 7919 8086 8253
## [12133] 8420 8587 8754 8921 9088 9255 9422 9589 9756 9923 10090 10345
## [12145] 10512 10679 10846 11013 11180 11347 11514 11680 11847 12014 12181 12348
## [12157] 12515 12682 12849 13016 13183 13350 13517 13684 13851 14018 14185 14352
## [12169] 14519 14686 14853 15020 15187 15354 15521 15688 15855 16022 16189 16356
## [12181] 16461 16628 16794 16961 17128 17295 17462 17629 17796 17963 18130 18297
## [12193] 18464 18631 18798 18965 19132 19299 19466 19633 19800 19967 20134 20301
## [12205] 20468 20635 20802 20969 21136 21303 21470 21637 21804 21971 22138 22305
## [12217] 22472 22639 22806 22973 23140 23307 23471 23638 23805 23972 24139 24306
## [12229] 24473 24640 24807 24974 25141 25308 25475 25642 25809 25976 26143 26303
## [12241] 26470 26637 26804 26971 27138 27305 27472 27639 27806 27973 28140 28307
## [12253] 28474 28641 28808 28975 29142 29309 71 238 405 572 739 906
## [12265] 1073 1240 1407 1574 1741 1908 2075 2242 2409 2576 2743 2910
## [12277] 3077 3244 3411 3578 3745 3912 4079 4246 4413 4580 4747 4914
## [12289] 5081 5248 5415 5582 5749 5916 6083 6250 6417 6584 6751 6918
## [12301] 7085 7252 7419 7586 7753 7920 8087 8254 8421 8588 8755 8922
## [12313] 9089 9256 9423 9590 9757 9924 10091 10346 10513 10680 10847 11014
## [12325] 11181 11348 11515 11681 11848 12015 12182 12349 12516 12683 12850 13017
## [12337] 13184 13351 13518 13685 13852 14019 14186 14353 14520 14687 14854 15021
## [12349] 15188 15355 15522 15689 15856 16023 16190 16357 16462 16629 16795 16962
## [12361] 17129 17296 17463 17630 17797 17964 18131 18298 18465 18632 18799 18966
## [12373] 19133 19300 19467 19634 19801 19968 20135 20302 20469 20636 20803 20970
## [12385] 21137 21304 21471 21638 21805 21972 22139 22306 22473 22640 22807 22974
## [12397] 23141 23308 23472 23639 23806 23973 24140 24307 24474 24641 24808 24975
## [12409] 25142 25309 25476 25643 25810 25977 26144 26304 26471 26638 26805 26972
## [12421] 27139 27306 27473 27640 27807 27974 28141 28308 28475 28642 28809 28976
## [12433] 29143 29310 72 239 406 573 740 907 1074 1241 1408 1575
## [12445] 1742 1909 2076 2243 2410 2577 2744 2911 3078 3245 3412 3579
## [12457] 3746 3913 4080 4247 4414 4581 4748 4915 5082 5249 5416 5583
## [12469] 5750 5917 6084 6251 6418 6585 6752 6919 7086 7253 7420 7587
## [12481] 7754 7921 8088 8255 8422 8589 8756 8923 9090 9257 9424 9591
## [12493] 9758 9925 10092 10347 10514 10681 10848 11015 11182 11349 11516 11682
## [12505] 11849 12016 12183 12350 12517 12684 12851 13018 13185 13352 13519 13686
## [12517] 13853 14020 14187 14354 14521 14688 14855 15022 15189 15356 15523 15690
## [12529] 15857 16024 16191 16358 16463 16630 16796 16963 17130 17297 17464 17631
## [12541] 17798 17965 18132 18299 18466 18633 18800 18967 19134 19301 19468 19635
## [12553] 19802 19969 20136 20303 20470 20637 20804 20971 21138 21305 21472 21639
## [12565] 21806 21973 22140 22307 22474 22641 22808 22975 23142 23309 23473 23640
## [12577] 23807 23974 24141 24308 24475 24642 24809 24976 25143 25310 25477 25644
## [12589] 25811 25978 26145 26305 26472 26639 26806 26973 27140 27307 27474 27641
## [12601] 27808 27975 28142 28309 28476 28643 28810 28977 29144 29311 73 240
## [12613] 407 574 741 908 1075 1242 1409 1576 1743 1910 2077 2244
## [12625] 2411 2578 2745 2912 3079 3246 3413 3580 3747 3914 4081 4248
## [12637] 4415 4582 4749 4916 5083 5250 5417 5584 5751 5918 6085 6252
## [12649] 6419 6586 6753 6920 7087 7254 7421 7588 7755 7922 8089 8256
## [12661] 8423 8590 8757 8924 9091 9258 9425 9592 9759 9926 10093 10348
## [12673] 10515 10682 10849 11016 11183 11350 11517 11683 11850 12017 12184 12351
## [12685] 12518 12685 12852 13019 13186 13353 13520 13687 13854 14021 14188 14355
## [12697] 14522 14689 14856 15023 15190 15357 15524 15691 15858 16025 16192 16359
## [12709] 16464 16631 16797 16964 17131 17298 17465 17632 17799 17966 18133 18300
## [12721] 18467 18634 18801 18968 19135 19302 19469 19636 19803 19970 20137 20304
## [12733] 20471 20638 20805 20972 21139 21306 21473 21640 21807 21974 22141 22308
## [12745] 22475 22642 22809 22976 23143 23310 23474 23641 23808 23975 24142 24309
## [12757] 24476 24643 24810 24977 25144 25311 25478 25645 25812 25979 26146 26306
## [12769] 26473 26640 26807 26974 27141 27308 27475 27642 27809 27976 28143 28310
## [12781] 28477 28644 28811 28978 29145 29312 74 241 408 575 742 909
## [12793] 1076 1243 1410 1577 1744 1911 2078 2245 2412 2579 2746 2913
## [12805] 3080 3247 3414 3581 3748 3915 4082 4249 4416 4583 4750 4917
## [12817] 5084 5251 5418 5585 5752 5919 6086 6253 6420 6587 6754 6921
## [12829] 7088 7255 7422 7589 7756 7923 8090 8257 8424 8591 8758 8925
## [12841] 9092 9259 9426 9593 9760 9927 10094 10349 10516 10683 10850 11017
## [12853] 11184 11351 11518 11684 11851 12018 12185 12352 12519 12686 12853 13020
## [12865] 13187 13354 13521 13688 13855 14022 14189 14356 14523 14690 14857 15024
## [12877] 15191 15358 15525 15692 15859 16026 16193 16360 16465 16632 16798 16965
## [12889] 17132 17299 17466 17633 17800 17967 18134 18301 18468 18635 18802 18969
## [12901] 19136 19303 19470 19637 19804 19971 20138 20305 20472 20639 20806 20973
## [12913] 21140 21307 21474 21641 21808 21975 22142 22309 22476 22643 22810 22977
## [12925] 23144 23311 23475 23642 23809 23976 24143 24310 24477 24644 24811 24978
## [12937] 25145 25312 25479 25646 25813 25980 26147 26307 26474 26641 26808 26975
## [12949] 27142 27309 27476 27643 27810 27977 28144 28311 28478 28645 28812 28979
## [12961] 29146 29313 75 242 409 576 743 910 1077 1244 1411 1578
## [12973] 1745 1912 2079 2246 2413 2580 2747 2914 3081 3248 3415 3582
## [12985] 3749 3916 4083 4250 4417 4584 4751 4918 5085 5252 5419 5586
## [12997] 5753 5920 6087 6254 6421 6588 6755 6922 7089 7256 7423 7590
## [13009] 7757 7924 8091 8258 8425 8592 8759 8926 9093 9260 9427 9594
## [13021] 9761 9928 10095 10350 10517 10684 10851 11018 11185 11352 11519 11685
## [13033] 11852 12019 12186 12353 12520 12687 12854 13021 13188 13355 13522 13689
## [13045] 13856 14023 14190 14357 14524 14691 14858 15025 15192 15359 15526 15693
## [13057] 15860 16027 16194 16361 16466 16633 16799 16966 17133 17300 17467 17634
## [13069] 17801 17968 18135 18302 18469 18636 18803 18970 19137 19304 19471 19638
## [13081] 19805 19972 20139 20306 20473 20640 20807 20974 21141 21308 21475 21642
## [13093] 21809 21976 22143 22310 22477 22644 22811 22978 23145 23312 23476 23643
## [13105] 23810 23977 24144 24311 24478 24645 24812 24979 25146 25313 25480 25647
## [13117] 25814 25981 26148 26308 26475 26642 26809 26976 27143 27310 27477 27644
## [13129] 27811 27978 28145 28312 28479 28646 28813 28980 29147 29314 76 243
## [13141] 410 577 744 911 1078 1245 1412 1579 1746 1913 2080 2247
## [13153] 2414 2581 2748 2915 3082 3249 3416 3583 3750 3917 4084 4251
## [13165] 4418 4585 4752 4919 5086 5253 5420 5587 5754 5921 6088 6255
## [13177] 6422 6589 6756 6923 7090 7257 7424 7591 7758 7925 8092 8259
## [13189] 8426 8593 8760 8927 9094 9261 9428 9595 9762 9929 10096 10351
## [13201] 10518 10685 10852 11019 11186 11353 11520 11686 11853 12020 12187 12354
## [13213] 12521 12688 12855 13022 13189 13356 13523 13690 13857 14024 14191 14358
## [13225] 14525 14692 14859 15026 15193 15360 15527 15694 15861 16028 16195 16362
## [13237] 16467 16634 16800 16967 17134 17301 17468 17635 17802 17969 18136 18303
## [13249] 18470 18637 18804 18971 19138 19305 19472 19639 19806 19973 20140 20307
## [13261] 20474 20641 20808 20975 21142 21309 21476 21643 21810 21977 22144 22311
## [13273] 22478 22645 22812 22979 23146 23313 23477 23644 23811 23978 24145 24312
## [13285] 24479 24646 24813 24980 25147 25314 25481 25648 25815 25982 26149 26309
## [13297] 26476 26643 26810 26977 27144 27311 27478 27645 27812 27979 28146 28313
## [13309] 28480 28647 28814 28981 29148 29315 77 244 411 578 745 912
## [13321] 1079 1246 1413 1580 1747 1914 2081 2248 2415 2582 2749 2916
## [13333] 3083 3250 3417 3584 3751 3918 4085 4252 4419 4586 4753 4920
## [13345] 5087 5254 5421 5588 5755 5922 6089 6256 6423 6590 6757 6924
## [13357] 7091 7258 7425 7592 7759 7926 8093 8260 8427 8594 8761 8928
## [13369] 9095 9262 9429 9596 9763 9930 10097 10352 10519 10686 10853 11020
## [13381] 11187 11354 11521 11687 11854 12021 12188 12355 12522 12689 12856 13023
## [13393] 13190 13357 13524 13691 13858 14025 14192 14359 14526 14693 14860 15027
## [13405] 15194 15361 15528 15695 15862 16029 16196 16363 16468 16635 16801 16968
## [13417] 17135 17302 17469 17636 17803 17970 18137 18304 18471 18638 18805 18972
## [13429] 19139 19306 19473 19640 19807 19974 20141 20308 20475 20642 20809 20976
## [13441] 21143 21310 21477 21644 21811 21978 22145 22312 22479 22646 22813 22980
## [13453] 23147 23314 23478 23645 23812 23979 24146 24313 24480 24647 24814 24981
## [13465] 25148 25315 25482 25649 25816 25983 26150 26310 26477 26644 26811 26978
## [13477] 27145 27312 27479 27646 27813 27980 28147 28314 28481 28648 28815 28982
## [13489] 29149 29316 78 245 412 579 746 913 1080 1247 1414 1581
## [13501] 1748 1915 2082 2249 2416 2583 2750 2917 3084 3251 3418 3585
## [13513] 3752 3919 4086 4253 4420 4587 4754 4921 5088 5255 5422 5589
## [13525] 5756 5923 6090 6257 6424 6591 6758 6925 7092 7259 7426 7593
## [13537] 7760 7927 8094 8261 8428 8595 8762 8929 9096 9263 9430 9597
## [13549] 9764 9931 10098 10353 10520 10687 10854 11021 11188 11355 11522 11688
## [13561] 11855 12022 12189 12356 12523 12690 12857 13024 13191 13358 13525 13692
## [13573] 13859 14026 14193 14360 14527 14694 14861 15028 15195 15362 15529 15696
## [13585] 15863 16030 16197 16364 16469 16636 16802 16969 17136 17303 17470 17637
## [13597] 17804 17971 18138 18305 18472 18639 18806 18973 19140 19307 19474 19641
## [13609] 19808 19975 20142 20309 20476 20643 20810 20977 21144 21311 21478 21645
## [13621] 21812 21979 22146 22313 22480 22647 22814 22981 23148 23315 23479 23646
## [13633] 23813 23980 24147 24314 24481 24648 24815 24982 25149 25316 25483 25650
## [13645] 25817 25984 26151 26311 26478 26645 26812 26979 27146 27313 27480 27647
## [13657] 27814 27981 28148 28315 28482 28649 28816 28983 29150 29317 79 246
## [13669] 413 580 747 914 1081 1248 1415 1582 1749 1916 2083 2250
## [13681] 2417 2584 2751 2918 3085 3252 3419 3586 3753 3920 4087 4254
## [13693] 4421 4588 4755 4922 5089 5256 5423 5590 5757 5924 6091 6258
## [13705] 6425 6592 6759 6926 7093 7260 7427 7594 7761 7928 8095 8262
## [13717] 8429 8596 8763 8930 9097 9264 9431 9598 9765 9932 10099 10354
## [13729] 10521 10688 10855 11022 11189 11356 11523 11689 11856 12023 12190 12357
## [13741] 12524 12691 12858 13025 13192 13359 13526 13693 13860 14027 14194 14361
## [13753] 14528 14695 14862 15029 15196 15363 15530 15697 15864 16031 16198 16365
## [13765] 16470 16637 16803 16970 17137 17304 17471 17638 17805 17972 18139 18306
## [13777] 18473 18640 18807 18974 19141 19308 19475 19642 19809 19976 20143 20310
## [13789] 20477 20644 20811 20978 21145 21312 21479 21646 21813 21980 22147 22314
## [13801] 22481 22648 22815 22982 23149 23316 23480 23647 23814 23981 24148 24315
## [13813] 24482 24649 24816 24983 25150 25317 25484 25651 25818 25985 26152 26312
## [13825] 26479 26646 26813 26980 27147 27314 27481 27648 27815 27982 28149 28316
## [13837] 28483 28650 28817 28984 29151 29318 80 247 414 581 748 915
## [13849] 1082 1249 1416 1583 1750 1917 2084 2251 2418 2585 2752 2919
## [13861] 3086 3253 3420 3587 3754 3921 4088 4255 4422 4589 4756 4923
## [13873] 5090 5257 5424 5591 5758 5925 6092 6259 6426 6593 6760 6927
## [13885] 7094 7261 7428 7595 7762 7929 8096 8263 8430 8597 8764 8931
## [13897] 9098 9265 9432 9599 9766 9933 10100 10188 10355 10522 10689 10856
## [13909] 11023 11190 11357 11524 11690 11857 12024 12191 12358 12525 12692 12859
## [13921] 13026 13193 13360 13527 13694 13861 14028 14195 14362 14529 14696 14863
## [13933] 15030 15197 15364 15531 15698 15865 16032 16199 16366 16471 16638 16804
## [13945] 16971 17138 17305 17472 17639 17806 17973 18140 18307 18474 18641 18808
## [13957] 18975 19142 19309 19476 19643 19810 19977 20144 20311 20478 20645 20812
## [13969] 20979 21146 21313 21480 21647 21814 21981 22148 22315 22482 22649 22816
## [13981] 22983 23150 23317 23481 23648 23815 23982 24149 24316 24483 24650 24817
## [13993] 24984 25151 25318 25485 25652 25819 25986 26153 26313 26480 26647 26814
## [14005] 26981 27148 27315 27482 27649 27816 27983 28150 28317 28484 28651 28818
## [14017] 28985 29152 29319 81 248 415 582 749 916 1083 1250 1417
## [14029] 1584 1751 1918 2085 2252 2419 2586 2753 2920 3087 3254 3421
## [14041] 3588 3755 3922 4089 4256 4423 4590 4757 4924 5091 5258 5425
## [14053] 5592 5759 5926 6093 6260 6427 6594 6761 6928 7095 7262 7429
## [14065] 7596 7763 7930 8097 8264 8431 8598 8765 8932 9099 9266 9433
## [14077] 9600 9767 9934 10101 10189 10356 10523 10690 10857 11024 11191 11358
## [14089] 11525 11691 11858 12025 12192 12359 12526 12693 12860 13027 13194 13361
## [14101] 13528 13695 13862 14029 14196 14363 14530 14697 14864 15031 15198 15365
## [14113] 15532 15699 15866 16033 16200 16367 16472 16639 16805 16972 17139 17306
## [14125] 17473 17640 17807 17974 18141 18308 18475 18642 18809 18976 19143 19310
## [14137] 19477 19644 19811 19978 20145 20312 20479 20646 20813 20980 21147 21314
## [14149] 21481 21648 21815 21982 22149 22316 22483 22650 22817 22984 23151 23318
## [14161] 23482 23649 23816 23983 24150 24317 24484 24651 24818 24985 25152 25319
## [14173] 25486 25653 25820 25987 26154 26314 26481 26648 26815 26982 27149 27316
## [14185] 27483 27650 27817 27984 28151 28318 28485 28652 28819 28986 29153 29320
## [14197] 82 249 416 583 750 917 1084 1251 1418 1585 1752 1919
## [14209] 2086 2253 2420 2587 2754 2921 3088 3255 3422 3589 3756 3923
## [14221] 4090 4257 4424 4591 4758 4925 5092 5259 5426 5593 5760 5927
## [14233] 6094 6261 6428 6595 6762 6929 7096 7263 7430 7597 7764 7931
## [14245] 8098 8265 8432 8599 8766 8933 9100 9267 9434 9601 9768 9935
## [14257] 10102 10190 10357 10524 10691 10858 11025 11192 11359 11526 11692 11859
## [14269] 12026 12193 12360 12527 12694 12861 13028 13195 13362 13529 13696 13863
## [14281] 14030 14197 14364 14531 14698 14865 15032 15199 15366 15533 15700 15867
## [14293] 16034 16201 16368 16473 16640 16806 16973 17140 17307 17474 17641 17808
## [14305] 17975 18142 18309 18476 18643 18810 18977 19144 19311 19478 19645 19812
## [14317] 19979 20146 20313 20480 20647 20814 20981 21148 21315 21482 21649 21816
## [14329] 21983 22150 22317 22484 22651 22818 22985 23152 23319 23483 23650 23817
## [14341] 23984 24151 24318 24485 24652 24819 24986 25153 25320 25487 25654 25821
## [14353] 25988 26155 26315 26482 26649 26816 26983 27150 27317 27484 27651 27818
## [14365] 27985 28152 28319 28486 28653 28820 28987 29154 29321 83 250 417
## [14377] 584 751 918 1085 1252 1419 1586 1753 1920 2087 2254 2421
## [14389] 2588 2755 2922 3089 3256 3423 3590 3757 3924 4091 4258 4425
## [14401] 4592 4759 4926 5093 5260 5427 5594 5761 5928 6095 6262 6429
## [14413] 6596 6763 6930 7097 7264 7431 7598 7765 7932 8099 8266 8433
## [14425] 8600 8767 8934 9101 9268 9435 9602 9769 9936 10103 10191 10358
## [14437] 10525 10692 10859 11026 11193 11360 11527 11693 11860 12027 12194 12361
## [14449] 12528 12695 12862 13029 13196 13363 13530 13697 13864 14031 14198 14365
## [14461] 14532 14699 14866 15033 15200 15367 15534 15701 15868 16035 16202 16369
## [14473] 16474 16641 16807 16974 17141 17308 17475 17642 17809 17976 18143 18310
## [14485] 18477 18644 18811 18978 19145 19312 19479 19646 19813 19980 20147 20314
## [14497] 20481 20648 20815 20982 21149 21316 21483 21650 21817 21984 22151 22318
## [14509] 22485 22652 22819 22986 23153 23320 23484 23651 23818 23985 24152 24319
## [14521] 24486 24653 24820 24987 25154 25321 25488 25655 25822 25989 26156 26316
## [14533] 26483 26650 26817 26984 27151 27318 27485 27652 27819 27986 28153 28320
## [14545] 28487 28654 28821 28988 29155 29322 84 251 418 585 752 919
## [14557] 1086 1253 1420 1587 1754 1921 2088 2255 2422 2589 2756 2923
## [14569] 3090 3257 3424 3591 3758 3925 4092 4259 4426 4593 4760 4927
## [14581] 5094 5261 5428 5595 5762 5929 6096 6263 6430 6597 6764 6931
## [14593] 7098 7265 7432 7599 7766 7933 8100 8267 8434 8601 8768 8935
## [14605] 9102 9269 9436 9603 9770 9937 10104 10192 10359 10526 10693 10860
## [14617] 11027 11194 11361 11528 11694 11861 12028 12195 12362 12529 12696 12863
## [14629] 13030 13197 13364 13531 13698 13865 14032 14199 14366 14533 14700 14867
## [14641] 15034 15201 15368 15535 15702 15869 16036 16203 16370 16475 16642 16808
## [14653] 16975 17142 17309 17476 17643 17810 17977 18144 18311 18478 18645 18812
## [14665] 18979 19146 19313 19480 19647 19814 19981 20148 20315 20482 20649 20816
## [14677] 20983 21150 21317 21484 21651 21818 21985 22152 22319 22486 22653 22820
## [14689] 22987 23154 23321 23485 23652 23819 23986 24153 24320 24487 24654 24821
## [14701] 24988 25155 25322 25489 25656 25823 25990 26157 26317 26484 26651 26818
## [14713] 26985 27152 27319 27486 27653 27820 27987 28154 28321 28488 28655 28822
## [14725] 28989 29156 29323 85 252 419 586 753 920 1087 1254 1421
## [14737] 1588 1755 1922 2089 2256 2423 2590 2757 2924 3091 3258 3425
## [14749] 3592 3759 3926 4093 4260 4427 4594 4761 4928 5095 5262 5429
## [14761] 5596 5763 5930 6097 6264 6431 6598 6765 6932 7099 7266 7433
## [14773] 7600 7767 7934 8101 8268 8435 8602 8769 8936 9103 9270 9437
## [14785] 9604 9771 9938 10105 10193 10360 10527 10694 10861 11028 11195 11362
## [14797] 11529 11695 11862 12029 12196 12363 12530 12697 12864 13031 13198 13365
## [14809] 13532 13699 13866 14033 14200 14367 14534 14701 14868 15035 15202 15369
## [14821] 15536 15703 15870 16037 16204 16371 16476 16643 16809 16976 17143 17310
## [14833] 17477 17644 17811 17978 18145 18312 18479 18646 18813 18980 19147 19314
## [14845] 19481 19648 19815 19982 20149 20316 20483 20650 20817 20984 21151 21318
## [14857] 21485 21652 21819 21986 22153 22320 22487 22654 22821 22988 23155 23322
## [14869] 23486 23653 23820 23987 24154 24321 24488 24655 24822 24989 25156 25323
## [14881] 25490 25657 25824 25991 26158 26318 26485 26652 26819 26986 27153 27320
## [14893] 27487 27654 27821 27988 28155 28322 28489 28656 28823 28990 29157 29324
## [14905] 86 253 420 587 754 921 1088 1255 1422 1589 1756 1923
## [14917] 2090 2257 2424 2591 2758 2925 3092 3259 3426 3593 3760 3927
## [14929] 4094 4261 4428 4595 4762 4929 5096 5263 5430 5597 5764 5931
## [14941] 6098 6265 6432 6599 6766 6933 7100 7267 7434 7601 7768 7935
## [14953] 8102 8269 8436 8603 8770 8937 9104 9271 9438 9605 9772 9939
## [14965] 10106 10194 10361 10528 10695 10862 11029 11196 11363 11530 11696 11863
## [14977] 12030 12197 12364 12531 12698 12865 13032 13199 13366 13533 13700 13867
## [14989] 14034 14201 14368 14535 14702 14869 15036 15203 15370 15537 15704 15871
## [15001] 16038 16205 16372 16477 16644 16810 16977 17144 17311 17478 17645 17812
## [15013] 17979 18146 18313 18480 18647 18814 18981 19148 19315 19482 19649 19816
## [15025] 19983 20150 20317 20484 20651 20818 20985 21152 21319 21486 21653 21820
## [15037] 21987 22154 22321 22488 22655 22822 22989 23156 23323 23487 23654 23821
## [15049] 23988 24155 24322 24489 24656 24823 24990 25157 25324 25491 25658 25825
## [15061] 25992 26159 26319 26486 26653 26820 26987 27154 27321 27488 27655 27822
## [15073] 27989 28156 28323 28490 28657 28824 28991 29158 29325 87 254 421
## [15085] 588 755 922 1089 1256 1423 1590 1757 1924 2091 2258 2425
## [15097] 2592 2759 2926 3093 3260 3427 3594 3761 3928 4095 4262 4429
## [15109] 4596 4763 4930 5097 5264 5431 5598 5765 5932 6099 6266 6433
## [15121] 6600 6767 6934 7101 7268 7435 7602 7769 7936 8103 8270 8437
## [15133] 8604 8771 8938 9105 9272 9439 9606 9773 9940 10107 10195 10362
## [15145] 10529 10696 10863 11030 11197 11364 11531 11697 11864 12031 12198 12365
## [15157] 12532 12699 12866 13033 13200 13367 13534 13701 13868 14035 14202 14369
## [15169] 14536 14703 14870 15037 15204 15371 15538 15705 15872 16039 16206 16373
## [15181] 16478 16645 16811 16978 17145 17312 17479 17646 17813 17980 18147 18314
## [15193] 18481 18648 18815 18982 19149 19316 19483 19650 19817 19984 20151 20318
## [15205] 20485 20652 20819 20986 21153 21320 21487 21654 21821 21988 22155 22322
## [15217] 22489 22656 22823 22990 23157 23324 23488 23655 23822 23989 24156 24323
## [15229] 24490 24657 24824 24991 25158 25325 25492 25659 25826 25993 26160 26320
## [15241] 26487 26654 26821 26988 27155 27322 27489 27656 27823 27990 28157 28324
## [15253] 28491 28658 28825 28992 29159 29326 88 255 422 589 756 923
## [15265] 1090 1257 1424 1591 1758 1925 2092 2259 2426 2593 2760 2927
## [15277] 3094 3261 3428 3595 3762 3929 4096 4263 4430 4597 4764 4931
## [15289] 5098 5265 5432 5599 5766 5933 6100 6267 6434 6601 6768 6935
## [15301] 7102 7269 7436 7603 7770 7937 8104 8271 8438 8605 8772 8939
## [15313] 9106 9273 9440 9607 9774 9941 10108 10196 10363 10530 10697 10864
## [15325] 11031 11198 11365 11532 11698 11865 12032 12199 12366 12533 12700 12867
## [15337] 13034 13201 13368 13535 13702 13869 14036 14203 14370 14537 14704 14871
## [15349] 15038 15205 15372 15539 15706 15873 16040 16207 16374 16479 16646 16812
## [15361] 16979 17146 17313 17480 17647 17814 17981 18148 18315 18482 18649 18816
## [15373] 18983 19150 19317 19484 19651 19818 19985 20152 20319 20486 20653 20820
## [15385] 20987 21154 21321 21488 21655 21822 21989 22156 22323 22490 22657 22824
## [15397] 22991 23158 23325 23489 23656 23823 23990 24157 24324 24491 24658 24825
## [15409] 24992 25159 25326 25493 25660 25827 25994 26161 26321 26488 26655 26822
## [15421] 26989 27156 27323 27490 27657 27824 27991 28158 28325 28492 28659 28826
## [15433] 28993 29160 29327 89 256 423 590 757 924 1091 1258 1425
## [15445] 1592 1759 1926 2093 2260 2427 2594 2761 2928 3095 3262 3429
## [15457] 3596 3763 3930 4097 4264 4431 4598 4765 4932 5099 5266 5433
## [15469] 5600 5767 5934 6101 6268 6435 6602 6769 6936 7103 7270 7437
## [15481] 7604 7771 7938 8105 8272 8439 8606 8773 8940 9107 9274 9441
## [15493] 9608 9775 9942 10109 10197 10364 10531 10698 10865 11032 11199 11366
## [15505] 11533 11699 11866 12033 12200 12367 12534 12701 12868 13035 13202 13369
## [15517] 13536 13703 13870 14037 14204 14371 14538 14705 14872 15039 15206 15373
## [15529] 15540 15707 15874 16041 16208 16375 16480 16647 16813 16980 17147 17314
## [15541] 17481 17648 17815 17982 18149 18316 18483 18650 18817 18984 19151 19318
## [15553] 19485 19652 19819 19986 20153 20320 20487 20654 20821 20988 21155 21322
## [15565] 21489 21656 21823 21990 22157 22324 22491 22658 22825 22992 23159 23326
## [15577] 23490 23657 23824 23991 24158 24325 24492 24659 24826 24993 25160 25327
## [15589] 25494 25661 25828 25995 26162 26322 26489 26656 26823 26990 27157 27324
## [15601] 27491 27658 27825 27992 28159 28326 28493 28660 28827 28994 29161 29328
## [15613] 90 257 424 591 758 925 1092 1259 1426 1593 1760 1927
## [15625] 2094 2261 2428 2595 2762 2929 3096 3263 3430 3597 3764 3931
## [15637] 4098 4265 4432 4599 4766 4933 5100 5267 5434 5601 5768 5935
## [15649] 6102 6269 6436 6603 6770 6937 7104 7271 7438 7605 7772 7939
## [15661] 8106 8273 8440 8607 8774 8941 9108 9275 9442 9609 9776 9943
## [15673] 10110 10198 10365 10532 10699 10866 11033 11200 11367 11534 11700 11867
## [15685] 12034 12201 12368 12535 12702 12869 13036 13203 13370 13537 13704 13871
## [15697] 14038 14205 14372 14539 14706 14873 15040 15207 15374 15541 15708 15875
## [15709] 16042 16209 16376 16481 16648 16814 16981 17148 17315 17482 17649 17816
## [15721] 17983 18150 18317 18484 18651 18818 18985 19152 19319 19486 19653 19820
## [15733] 19987 20154 20321 20488 20655 20822 20989 21156 21323 21490 21657 21824
## [15745] 21991 22158 22325 22492 22659 22826 22993 23160 23327 23491 23658 23825
## [15757] 23992 24159 24326 24493 24660 24827 24994 25161 25328 25495 25662 25829
## [15769] 25996 26163 26323 26490 26657 26824 26991 27158 27325 27492 27659 27826
## [15781] 27993 28160 28327 28494 28661 28828 28995 29162 29329 91 258 425
## [15793] 592 759 926 1093 1260 1427 1594 1761 1928 2095 2262 2429
## [15805] 2596 2763 2930 3097 3264 3431 3598 3765 3932 4099 4266 4433
## [15817] 4600 4767 4934 5101 5268 5435 5602 5769 5936 6103 6270 6437
## [15829] 6604 6771 6938 7105 7272 7439 7606 7773 7940 8107 8274 8441
## [15841] 8608 8775 8942 9109 9276 9443 9610 9777 9944 10111 10199 10366
## [15853] 10533 10700 10867 11034 11201 11368 11535 11701 11868 12035 12202 12369
## [15865] 12536 12703 12870 13037 13204 13371 13538 13705 13872 14039 14206 14373
## [15877] 14540 14707 14874 15041 15208 15375 15542 15709 15876 16043 16210 16377
## [15889] 16482 16649 16815 16982 17149 17316 17483 17650 17817 17984 18151 18318
## [15901] 18485 18652 18819 18986 19153 19320 19487 19654 19821 19988 20155 20322
## [15913] 20489 20656 20823 20990 21157 21324 21491 21658 21825 21992 22159 22326
## [15925] 22493 22660 22827 22994 23161 23328 23492 23659 23826 23993 24160 24327
## [15937] 24494 24661 24828 24995 25162 25329 25496 25663 25830 25997 26164 26324
## [15949] 26491 26658 26825 26992 27159 27326 27493 27660 27827 27994 28161 28328
## [15961] 28495 28662 28829 28996 29163 29330 92 259 426 593 760 927
## [15973] 1094 1261 1428 1595 1762 1929 2096 2263 2430 2597 2764 2931
## [15985] 3098 3265 3432 3599 3766 3933 4100 4267 4434 4601 4768 4935
## [15997] 5102 5269 5436 5603 5770 5937 6104 6271 6438 6605 6772 6939
## [16009] 7106 7273 7440 7607 7774 7941 8108 8275 8442 8609 8776 8943
## [16021] 9110 9277 9444 9611 9778 9945 10112 10200 10367 10534 10701 10868
## [16033] 11035 11202 11369 11536 11702 11869 12036 12203 12370 12537 12704 12871
## [16045] 13038 13205 13372 13539 13706 13873 14040 14207 14374 14541 14708 14875
## [16057] 15042 15209 15376 15543 15710 15877 16044 16211 16378 16483 16650 16816
## [16069] 16983 17150 17317 17484 17651 17818 17985 18152 18319 18486 18653 18820
## [16081] 18987 19154 19321 19488 19655 19822 19989 20156 20323 20490 20657 20824
## [16093] 20991 21158 21325 21492 21659 21826 21993 22160 22327 22494 22661 22828
## [16105] 22995 23162 23329 23493 23660 23827 23994 24161 24328 24495 24662 24829
## [16117] 24996 25163 25330 25497 25664 25831 25998 26165 26325 26492 26659 26826
## [16129] 26993 27160 27327 27494 27661 27828 27995 28162 28329 28496 28663 28830
## [16141] 28997 29164 29331 93 260 427 594 761 928 1095 1262 1429
## [16153] 1596 1763 1930 2097 2264 2431 2598 2765 2932 3099 3266 3433
## [16165] 3600 3767 3934 4101 4268 4435 4602 4769 4936 5103 5270 5437
## [16177] 5604 5771 5938 6105 6272 6439 6606 6773 6940 7107 7274 7441
## [16189] 7608 7775 7942 8109 8276 8443 8610 8777 8944 9111 9278 9445
## [16201] 9612 9779 9946 10113 10201 10368 10535 10702 10869 11036 11203 11370
## [16213] 11537 11703 11870 12037 12204 12371 12538 12705 12872 13039 13206 13373
## [16225] 13540 13707 13874 14041 14208 14375 14542 14709 14876 15043 15210 15377
## [16237] 15544 15711 15878 16045 16212 16379 16484 16651 16817 16984 17151 17318
## [16249] 17485 17652 17819 17986 18153 18320 18487 18654 18821 18988 19155 19322
## [16261] 19489 19656 19823 19990 20157 20324 20491 20658 20825 20992 21159 21326
## [16273] 21493 21660 21827 21994 22161 22328 22495 22662 22829 22996 23163 23330
## [16285] 23494 23661 23828 23995 24162 24329 24496 24663 24830 24997 25164 25331
## [16297] 25498 25665 25832 25999 26166 26326 26493 26660 26827 26994 27161 27328
## [16309] 27495 27662 27829 27996 28163 28330 28497 28664 28831 28998 29165 29332
## [16321] 94 261 428 595 762 929 1096 1263 1430 1597 1764 1931
## [16333] 2098 2265 2432 2599 2766 2933 3100 3267 3434 3601 3768 3935
## [16345] 4102 4269 4436 4603 4770 4937 5104 5271 5438 5605 5772 5939
## [16357] 6106 6273 6440 6607 6774 6941 7108 7275 7442 7609 7776 7943
## [16369] 8110 8277 8444 8611 8778 8945 9112 9279 9446 9613 9780 9947
## [16381] 10114 10202 10369 10536 10703 10870 11037 11204 11371 11538 11704 11871
## [16393] 12038 12205 12372 12539 12706 12873 13040 13207 13374 13541 13708 13875
## [16405] 14042 14209 14376 14543 14710 14877 15044 15211 15378 15545 15712 15879
## [16417] 16046 16213 16380 16485 16652 16818 16985 17152 17319 17486 17653 17820
## [16429] 17987 18154 18321 18488 18655 18822 18989 19156 19323 19490 19657 19824
## [16441] 19991 20158 20325 20492 20659 20826 20993 21160 21327 21494 21661 21828
## [16453] 21995 22162 22329 22496 22663 22830 22997 23164 23331 23495 23662 23829
## [16465] 23996 24163 24330 24497 24664 24831 24998 25165 25332 25499 25666 25833
## [16477] 26000 26167 26327 26494 26661 26828 26995 27162 27329 27496 27663 27830
## [16489] 27997 28164 28331 28498 28665 28832 28999 29166 29333 95 262 429
## [16501] 596 763 930 1097 1264 1431 1598 1765 1932 2099 2266 2433
## [16513] 2600 2767 2934 3101 3268 3435 3602 3769 3936 4103 4270 4437
## [16525] 4604 4771 4938 5105 5272 5439 5606 5773 5940 6107 6274 6441
## [16537] 6608 6775 6942 7109 7276 7443 7610 7777 7944 8111 8278 8445
## [16549] 8612 8779 8946 9113 9280 9447 9614 9781 9948 10115 10203 10370
## [16561] 10537 10704 10871 11038 11205 11372 11539 11705 11872 12039 12206 12373
## [16573] 12540 12707 12874 13041 13208 13375 13542 13709 13876 14043 14210 14377
## [16585] 14544 14711 14878 15045 15212 15379 15546 15713 15880 16047 16214 16381
## [16597] 16486 16653 16819 16986 17153 17320 17487 17654 17821 17988 18155 18322
## [16609] 18489 18656 18823 18990 19157 19324 19491 19658 19825 19992 20159 20326
## [16621] 20493 20660 20827 20994 21161 21328 21495 21662 21829 21996 22163 22330
## [16633] 22497 22664 22831 22998 23165 23332 23496 23663 23830 23997 24164 24331
## [16645] 24498 24665 24832 24999 25166 25333 25500 25667 25834 26001 26168 26328
## [16657] 26495 26662 26829 26996 27163 27330 27497 27664 27831 27998 28165 28332
## [16669] 28499 28666 28833 29000 29167 29334 96 263 430 597 764 931
## [16681] 1098 1265 1432 1599 1766 1933 2100 2267 2434 2601 2768 2935
## [16693] 3102 3269 3436 3603 3770 3937 4104 4271 4438 4605 4772 4939
## [16705] 5106 5273 5440 5607 5774 5941 6108 6275 6442 6609 6776 6943
## [16717] 7110 7277 7444 7611 7778 7945 8112 8279 8446 8613 8780 8947
## [16729] 9114 9281 9448 9615 9782 9949 10116 10204 10371 10538 10705 10872
## [16741] 11039 11206 11373 11540 11706 11873 12040 12207 12374 12541 12708 12875
## [16753] 13042 13209 13376 13543 13710 13877 14044 14211 14378 14545 14712 14879
## [16765] 15046 15213 15380 15547 15714 15881 16048 16215 16382 16487 16654 16820
## [16777] 16987 17154 17321 17488 17655 17822 17989 18156 18323 18490 18657 18824
## [16789] 18991 19158 19325 19492 19659 19826 19993 20160 20327 20494 20661 20828
## [16801] 20995 21162 21329 21496 21663 21830 21997 22164 22331 22498 22665 22832
## [16813] 22999 23166 23333 23497 23664 23831 23998 24165 24332 24499 24666 24833
## [16825] 25000 25167 25334 25501 25668 25835 26002 26169 26329 26496 26663 26830
## [16837] 26997 27164 27331 27498 27665 27832 27999 28166 28333 28500 28667 28834
## [16849] 29001 29168 29335 97 264 431 598 765 932 1099 1266 1433
## [16861] 1600 1767 1934 2101 2268 2435 2602 2769 2936 3103 3270 3437
## [16873] 3604 3771 3938 4105 4272 4439 4606 4773 4940 5107 5274 5441
## [16885] 5608 5775 5942 6109 6276 6443 6610 6777 6944 7111 7278 7445
## [16897] 7612 7779 7946 8113 8280 8447 8614 8781 8948 9115 9282 9449
## [16909] 9616 9783 9950 10117 10205 10372 10539 10706 10873 11040 11207 11374
## [16921] 11541 11707 11874 12041 12208 12375 12542 12709 12876 13043 13210 13377
## [16933] 13544 13711 13878 14045 14212 14379 14546 14713 14880 15047 15214 15381
## [16945] 15548 15715 15882 16049 16216 16383 16488 16655 16821 16988 17155 17322
## [16957] 17489 17656 17823 17990 18157 18324 18491 18658 18825 18992 19159 19326
## [16969] 19493 19660 19827 19994 20161 20328 20495 20662 20829 20996 21163 21330
## [16981] 21497 21664 21831 21998 22165 22332 22499 22666 22833 23000 23167 23334
## [16993] 23498 23665 23832 23999 24166 24333 24500 24667 24834 25001 25168 25335
## [17005] 25502 25669 25836 26003 26170 26330 26497 26664 26831 26998 27165 27332
## [17017] 27499 27666 27833 28000 28167 28334 28501 28668 28835 29002 29169 29336
## [17029] 98 265 432 599 766 933 1100 1267 1434 1601 1768 1935
## [17041] 2102 2269 2436 2603 2770 2937 3104 3271 3438 3605 3772 3939
## [17053] 4106 4273 4440 4607 4774 4941 5108 5275 5442 5609 5776 5943
## [17065] 6110 6277 6444 6611 6778 6945 7112 7279 7446 7613 7780 7947
## [17077] 8114 8281 8448 8615 8782 8949 9116 9283 9450 9617 9784 9951
## [17089] 10118 10206 10373 10540 10707 10874 11041 11208 11375 11542 11708 11875
## [17101] 12042 12209 12376 12543 12710 12877 13044 13211 13378 13545 13712 13879
## [17113] 14046 14213 14380 14547 14714 14881 15048 15215 15382 15549 15716 15883
## [17125] 16050 16217 16384 16489 16656 16822 16989 17156 17323 17490 17657 17824
## [17137] 17991 18158 18325 18492 18659 18826 18993 19160 19327 19494 19661 19828
## [17149] 19995 20162 20329 20496 20663 20830 20997 21164 21331 21498 21665 21832
## [17161] 21999 22166 22333 22500 22667 22834 23001 23168 23335 23499 23666 23833
## [17173] 24000 24167 24334 24501 24668 24835 25002 25169 25336 25503 25670 25837
## [17185] 26004 26171 26331 26498 26665 26832 26999 27166 27333 27500 27667 27834
## [17197] 28001 28168 28335 28502 28669 28836 29003 29170 29337 99 266 433
## [17209] 600 767 934 1101 1268 1435 1602 1769 1936 2103 2270 2437
## [17221] 2604 2771 2938 3105 3272 3439 3606 3773 3940 4107 4274 4441
## [17233] 4608 4775 4942 5109 5276 5443 5610 5777 5944 6111 6278 6445
## [17245] 6612 6779 6946 7113 7280 7447 7614 7781 7948 8115 8282 8449
## [17257] 8616 8783 8950 9117 9284 9451 9618 9785 9952 10119 10207 10374
## [17269] 10541 10708 10875 11042 11209 11376 11543 11709 11876 12043 12210 12377
## [17281] 12544 12711 12878 13045 13212 13379 13546 13713 13880 14047 14214 14381
## [17293] 14548 14715 14882 15049 15216 15383 15550 15717 15884 16051 16218 16385
## [17305] 16490 16657 16823 16990 17157 17324 17491 17658 17825 17992 18159 18326
## [17317] 18493 18660 18827 18994 19161 19328 19495 19662 19829 19996 20163 20330
## [17329] 20497 20664 20831 20998 21165 21332 21499 21666 21833 22000 22167 22334
## [17341] 22501 22668 22835 23002 23169 23336 23500 23667 23834 24001 24168 24335
## [17353] 24502 24669 24836 25003 25170 25337 25504 25671 25838 26005 26172 26332
## [17365] 26499 26666 26833 27000 27167 27334 27501 27668 27835 28002 28169 28336
## [17377] 28503 28670 28837 29004 29171 29338 100 267 434 601 768 935
## [17389] 1102 1269 1436 1603 1770 1937 2104 2271 2438 2605 2772 2939
## [17401] 3106 3273 3440 3607 3774 3941 4108 4275 4442 4609 4776 4943
## [17413] 5110 5277 5444 5611 5778 5945 6112 6279 6446 6613 6780 6947
## [17425] 7114 7281 7448 7615 7782 7949 8116 8283 8450 8617 8784 8951
## [17437] 9118 9285 9452 9619 9786 9953 10120 10208 10375 10542 10709 10876
## [17449] 11043 11210 11377 11544 11710 11877 12044 12211 12378 12545 12712 12879
## [17461] 13046 13213 13380 13547 13714 13881 14048 14215 14382 14549 14716 14883
## [17473] 15050 15217 15384 15551 15718 15885 16052 16219 16386 16491 16658 16824
## [17485] 16991 17158 17325 17492 17659 17826 17993 18160 18327 18494 18661 18828
## [17497] 18995 19162 19329 19496 19663 19830 19997 20164 20331 20498 20665 20832
## [17509] 20999 21166 21333 21500 21667 21834 22001 22168 22335 22502 22669 22836
## [17521] 23003 23170 23337 23501 23668 23835 24002 24169 24336 24503 24670 24837
## [17533] 25004 25171 25338 25505 25672 25839 26006 26173 26333 26500 26667 26834
## [17545] 27001 27168 27335 27502 27669 27836 28003 28170 28337 28504 28671 28838
## [17557] 29005 29172 29339 101 268 435 602 769 936 1103 1270 1437
## [17569] 1604 1771 1938 2105 2272 2439 2606 2773 2940 3107 3274 3441
## [17581] 3608 3775 3942 4109 4276 4443 4610 4777 4944 5111 5278 5445
## [17593] 5612 5779 5946 6113 6280 6447 6614 6781 6948 7115 7282 7449
## [17605] 7616 7783 7950 8117 8284 8451 8618 8785 8952 9119 9286 9453
## [17617] 9620 9787 9954 10121 10209 10376 10543 10710 10877 11044 11211 11378
## [17629] 11545 11711 11878 12045 12212 12379 12546 12713 12880 13047 13214 13381
## [17641] 13548 13715 13882 14049 14216 14383 14550 14717 14884 15051 15218 15385
## [17653] 15552 15719 15886 16053 16220 16387 16492 16659 16825 16992 17159 17326
## [17665] 17493 17660 17827 17994 18161 18328 18495 18662 18829 18996 19163 19330
## [17677] 19497 19664 19831 19998 20165 20332 20499 20666 20833 21000 21167 21334
## [17689] 21501 21668 21835 22002 22169 22336 22503 22670 22837 23004 23171 23338
## [17701] 23502 23669 23836 24003 24170 24337 24504 24671 24838 25005 25172 25339
## [17713] 25506 25673 25840 26007 26174 26334 26501 26668 26835 27002 27169 27336
## [17725] 27503 27670 27837 28004 28171 28338 28505 28672 28839 29006 29173 29340
## [17737] 102 269 436 603 770 937 1104 1271 1438 1605 1772 1939
## [17749] 2106 2273 2440 2607 2774 2941 3108 3275 3442 3609 3776 3943
## [17761] 4110 4277 4444 4611 4778 4945 5112 5279 5446 5613 5780 5947
## [17773] 6114 6281 6448 6615 6782 6949 7116 7283 7450 7617 7784 7951
## [17785] 8118 8285 8452 8619 8786 8953 9120 9287 9454 9621 9788 9955
## [17797] 10122 10210 10377 10544 10711 10878 11045 11212 11379 11546 11712 11879
## [17809] 12046 12213 12380 12547 12714 12881 13048 13215 13382 13549 13716 13883
## [17821] 14050 14217 14384 14551 14718 14885 15052 15219 15386 15553 15720 15887
## [17833] 16054 16221 16388 16493 16660 16826 16993 17160 17327 17494 17661 17828
## [17845] 17995 18162 18329 18496 18663 18830 18997 19164 19331 19498 19665 19832
## [17857] 19999 20166 20333 20500 20667 20834 21001 21168 21335 21502 21669 21836
## [17869] 22003 22170 22337 22504 22671 22838 23005 23172 23339 23503 23670 23837
## [17881] 24004 24171 24338 24505 24672 24839 25006 25173 25340 25507 25674 25841
## [17893] 26008 26175 26335 26502 26669 26836 27003 27170 27337 27504 27671 27838
## [17905] 28005 28172 28339 28506 28673 28840 29007 29174 29341 103 270 437
## [17917] 604 771 938 1105 1272 1439 1606 1773 1940 2107 2274 2441
## [17929] 2608 2775 2942 3109 3276 3443 3610 3777 3944 4111 4278 4445
## [17941] 4612 4779 4946 5113 5280 5447 5614 5781 5948 6115 6282 6449
## [17953] 6616 6783 6950 7117 7284 7451 7618 7785 7952 8119 8286 8453
## [17965] 8620 8787 8954 9121 9288 9455 9622 9789 9956 10123 10211 10378
## [17977] 10545 10712 10879 11046 11213 11380 11547 11713 11880 12047 12214 12381
## [17989] 12548 12715 12882 13049 13216 13383 13550 13717 13884 14051 14218 14385
## [18001] 14552 14719 14886 15053 15220 15387 15554 15721 15888 16055 16222 16389
## [18013] 16494 16661 16827 16994 17161 17328 17495 17662 17829 17996 18163 18330
## [18025] 18497 18664 18831 18998 19165 19332 19499 19666 19833 20000 20167 20334
## [18037] 20501 20668 20835 21002 21169 21336 21503 21670 21837 22004 22171 22338
## [18049] 22505 22672 22839 23006 23173 23340 23504 23671 23838 24005 24172 24339
## [18061] 24506 24673 24840 25007 25174 25341 25508 25675 25842 26009 26176 26336
## [18073] 26503 26670 26837 27004 27171 27338 27505 27672 27839 28006 28173 28340
## [18085] 28507 28674 28841 29008 29175 29342 104 271 438 605 772 939
## [18097] 1106 1273 1440 1607 1774 1941 2108 2275 2442 2609 2776 2943
## [18109] 3110 3277 3444 3611 3778 3945 4112 4279 4446 4613 4780 4947
## [18121] 5114 5281 5448 5615 5782 5949 6116 6283 6450 6617 6784 6951
## [18133] 7118 7285 7452 7619 7786 7953 8120 8287 8454 8621 8788 8955
## [18145] 9122 9289 9456 9623 9790 9957 10124 10212 10379 10546 10713 10880
## [18157] 11047 11214 11381 11548 11714 11881 12048 12215 12382 12549 12716 12883
## [18169] 13050 13217 13384 13551 13718 13885 14052 14219 14386 14553 14720 14887
## [18181] 15054 15221 15388 15555 15722 15889 16056 16223 16390 16495 16662 16828
## [18193] 16995 17162 17329 17496 17663 17830 17997 18164 18331 18498 18665 18832
## [18205] 18999 19166 19333 19500 19667 19834 20001 20168 20335 20502 20669 20836
## [18217] 21003 21170 21337 21504 21671 21838 22005 22172 22339 22506 22673 22840
## [18229] 23007 23174 23341 23505 23672 23839 24006 24173 24340 24507 24674 24841
## [18241] 25008 25175 25342 25509 25676 25843 26010 26177 26337 26504 26671 26838
## [18253] 27005 27172 27339 27506 27673 27840 28007 28174 28341 28508 28675 28842
## [18265] 29009 29176 29343 105 272 439 606 773 940 1107 1274 1441
## [18277] 1608 1775 1942 2109 2276 2443 2610 2777 2944 3111 3278 3445
## [18289] 3612 3779 3946 4113 4280 4447 4614 4781 4948 5115 5282 5449
## [18301] 5616 5783 5950 6117 6284 6451 6618 6785 6952 7119 7286 7453
## [18313] 7620 7787 7954 8121 8288 8455 8622 8789 8956 9123 9290 9457
## [18325] 9624 9791 9958 10125 10213 10380 10547 10714 10881 11048 11215 11382
## [18337] 11549 11715 11882 12049 12216 12383 12550 12717 12884 13051 13218 13385
## [18349] 13552 13719 13886 14053 14220 14387 14554 14721 14888 15055 15222 15389
## [18361] 15556 15723 15890 16057 16224 16391 16496 16663 16829 16996 17163 17330
## [18373] 17497 17664 17831 17998 18165 18332 18499 18666 18833 19000 19167 19334
## [18385] 19501 19668 19835 20002 20169 20336 20503 20670 20837 21004 21171 21338
## [18397] 21505 21672 21839 22006 22173 22340 22507 22674 22841 23008 23175 23342
## [18409] 23506 23673 23840 24007 24174 24341 24508 24675 24842 25009 25176 25343
## [18421] 25510 25677 25844 26011 26178 26338 26505 26672 26839 27006 27173 27340
## [18433] 27507 27674 27841 28008 28175 28342 28509 28676 28843 29010 29177 29344
## [18445] 106 273 440 607 774 941 1108 1275 1442 1609 1776 1943
## [18457] 2110 2277 2444 2611 2778 2945 3112 3279 3446 3613 3780 3947
## [18469] 4114 4281 4448 4615 4782 4949 5116 5283 5450 5617 5784 5951
## [18481] 6118 6285 6452 6619 6786 6953 7120 7287 7454 7621 7788 7955
## [18493] 8122 8289 8456 8623 8790 8957 9124 9291 9458 9625 9792 9959
## [18505] 10126 10214 10381 10548 10715 10882 11049 11216 11383 11550 11716 11883
## [18517] 12050 12217 12384 12551 12718 12885 13052 13219 13386 13553 13720 13887
## [18529] 14054 14221 14388 14555 14722 14889 15056 15223 15390 15557 15724 15891
## [18541] 16058 16225 16392 16497 16664 16830 16997 17164 17331 17498 17665 17832
## [18553] 17999 18166 18333 18500 18667 18834 19001 19168 19335 19502 19669 19836
## [18565] 20003 20170 20337 20504 20671 20838 21005 21172 21339 21506 21673 21840
## [18577] 22007 22174 22341 22508 22675 22842 23009 23176 23343 23507 23674 23841
## [18589] 24008 24175 24342 24509 24676 24843 25010 25177 25344 25511 25678 25845
## [18601] 26012 26179 26339 26506 26673 26840 27007 27174 27341 27508 27675 27842
## [18613] 28009 28176 28343 28510 28677 28844 29011 29178 29345 107 274 441
## [18625] 608 775 942 1109 1276 1443 1610 1777 1944 2111 2278 2445
## [18637] 2612 2779 2946 3113 3280 3447 3614 3781 3948 4115 4282 4449
## [18649] 4616 4783 4950 5117 5284 5451 5618 5785 5952 6119 6286 6453
## [18661] 6620 6787 6954 7121 7288 7455 7622 7789 7956 8123 8290 8457
## [18673] 8624 8791 8958 9125 9292 9459 9626 9793 9960 10127 10215 10382
## [18685] 10549 10716 10883 11050 11217 11384 11551 11717 11884 12051 12218 12385
## [18697] 12552 12719 12886 13053 13220 13387 13554 13721 13888 14055 14222 14389
## [18709] 14556 14723 14890 15057 15224 15391 15558 15725 15892 16059 16226 16393
## [18721] 16498 16665 16831 16998 17165 17332 17499 17666 17833 18000 18167 18334
## [18733] 18501 18668 18835 19002 19169 19336 19503 19670 19837 20004 20171 20338
## [18745] 20505 20672 20839 21006 21173 21340 21507 21674 21841 22008 22175 22342
## [18757] 22509 22676 22843 23010 23177 23344 23508 23675 23842 24009 24176 24343
## [18769] 24510 24677 24844 25011 25178 25345 25512 25679 25846 26013 26180 26340
## [18781] 26507 26674 26841 27008 27175 27342 27509 27676 27843 28010 28177 28344
## [18793] 28511 28678 28845 29012 29179 29346 108 275 442 609 776 943
## [18805] 1110 1277 1444 1611 1778 1945 2112 2279 2446 2613 2780 2947
## [18817] 3114 3281 3448 3615 3782 3949 4116 4283 4450 4617 4784 4951
## [18829] 5118 5285 5452 5619 5786 5953 6120 6287 6454 6621 6788 6955
## [18841] 7122 7289 7456 7623 7790 7957 8124 8291 8458 8625 8792 8959
## [18853] 9126 9293 9460 9627 9794 9961 10128 10216 10383 10550 10717 10884
## [18865] 11051 11218 11385 11552 11718 11885 12052 12219 12386 12553 12720 12887
## [18877] 13054 13221 13388 13555 13722 13889 14056 14223 14390 14557 14724 14891
## [18889] 15058 15225 15392 15559 15726 15893 16060 16227 16394 16499 16666 16832
## [18901] 16999 17166 17333 17500 17667 17834 18001 18168 18335 18502 18669 18836
## [18913] 19003 19170 19337 19504 19671 19838 20005 20172 20339 20506 20673 20840
## [18925] 21007 21174 21341 21508 21675 21842 22009 22176 22343 22510 22677 22844
## [18937] 23011 23178 23345 23509 23676 23843 24010 24177 24344 24511 24678 24845
## [18949] 25012 25179 25346 25513 25680 25847 26014 26181 26341 26508 26675 26842
## [18961] 27009 27176 27343 27510 27677 27844 28011 28178 28345 28512 28679 28846
## [18973] 29013 29180 29347 109 276 443 610 777 944 1111 1278 1445
## [18985] 1612 1779 1946 2113 2280 2447 2614 2781 2948 3115 3282 3449
## [18997] 3616 3783 3950 4117 4284 4451 4618 4785 4952 5119 5286 5453
## [19009] 5620 5787 5954 6121 6288 6455 6622 6789 6956 7123 7290 7457
## [19021] 7624 7791 7958 8125 8292 8459 8626 8793 8960 9127 9294 9461
## [19033] 9628 9795 9962 10129 10217 10384 10551 10718 10885 11052 11219 11386
## [19045] 11553 11719 11886 12053 12220 12387 12554 12721 12888 13055 13222 13389
## [19057] 13556 13723 13890 14057 14224 14391 14558 14725 14892 15059 15226 15393
## [19069] 15560 15727 15894 16061 16228 16395 16500 16667 16833 17000 17167 17334
## [19081] 17501 17668 17835 18002 18169 18336 18503 18670 18837 19004 19171 19338
## [19093] 19505 19672 19839 20006 20173 20340 20507 20674 20841 21008 21175 21342
## [19105] 21509 21676 21843 22010 22177 22344 22511 22678 22845 23012 23179 23346
## [19117] 23510 23677 23844 24011 24178 24345 24512 24679 24846 25013 25180 25347
## [19129] 25514 25681 25848 26015 26182 26342 26509 26676 26843 27010 27177 27344
## [19141] 27511 27678 27845 28012 28179 28346 28513 28680 28847 29014 29181 29348
## [19153] 110 277 444 611 778 945 1112 1279 1446 1613 1780 1947
## [19165] 2114 2281 2448 2615 2782 2949 3116 3283 3450 3617 3784 3951
## [19177] 4118 4285 4452 4619 4786 4953 5120 5287 5454 5621 5788 5955
## [19189] 6122 6289 6456 6623 6790 6957 7124 7291 7458 7625 7792 7959
## [19201] 8126 8293 8460 8627 8794 8961 9128 9295 9462 9629 9796 9963
## [19213] 10130 10218 10385 10552 10719 10886 11053 11220 11387 11554 11720 11887
## [19225] 12054 12221 12388 12555 12722 12889 13056 13223 13390 13557 13724 13891
## [19237] 14058 14225 14392 14559 14726 14893 15060 15227 15394 15561 15728 15895
## [19249] 16062 16229 16396 16501 16668 16834 17001 17168 17335 17502 17669 17836
## [19261] 18003 18170 18337 18504 18671 18838 19005 19172 19339 19506 19673 19840
## [19273] 20007 20174 20341 20508 20675 20842 21009 21176 21343 21510 21677 21844
## [19285] 22011 22178 22345 22512 22679 22846 23013 23180 23347 23511 23678 23845
## [19297] 24012 24179 24346 24513 24680 24847 25014 25181 25348 25515 25682 25849
## [19309] 26016 26183 26343 26510 26677 26844 27011 27178 27345 27512 27679 27846
## [19321] 28013 28180 28347 28514 28681 28848 29015 29182 29349 111 278 445
## [19333] 612 779 946 1113 1280 1447 1614 1781 1948 2115 2282 2449
## [19345] 2616 2783 2950 3117 3284 3451 3618 3785 3952 4119 4286 4453
## [19357] 4620 4787 4954 5121 5288 5455 5622 5789 5956 6123 6290 6457
## [19369] 6624 6791 6958 7125 7292 7459 7626 7793 7960 8127 8294 8461
## [19381] 8628 8795 8962 9129 9296 9463 9630 9797 9964 10131 10219 10386
## [19393] 10553 10720 10887 11054 11221 11388 11555 11721 11888 12055 12222 12389
## [19405] 12556 12723 12890 13057 13224 13391 13558 13725 13892 14059 14226 14393
## [19417] 14560 14727 14894 15061 15228 15395 15562 15729 15896 16063 16230 16397
## [19429] 16502 16669 16835 17002 17169 17336 17503 17670 17837 18004 18171 18338
## [19441] 18505 18672 18839 19006 19173 19340 19507 19674 19841 20008 20175 20342
## [19453] 20509 20676 20843 21010 21177 21344 21511 21678 21845 22012 22179 22346
## [19465] 22513 22680 22847 23014 23181 23348 23512 23679 23846 24013 24180 24347
## [19477] 24514 24681 24848 25015 25182 25349 25516 25683 25850 26017 26184 26344
## [19489] 26511 26678 26845 27012 27179 27346 27513 27680 27847 28014 28181 28348
## [19501] 28515 28682 28849 29016 29183 29350 112 279 446 613 780 947
## [19513] 1114 1281 1448 1615 1782 1949 2116 2283 2450 2617 2784 2951
## [19525] 3118 3285 3452 3619 3786 3953 4120 4287 4454 4621 4788 4955
## [19537] 5122 5289 5456 5623 5790 5957 6124 6291 6458 6625 6792 6959
## [19549] 7126 7293 7460 7627 7794 7961 8128 8295 8462 8629 8796 8963
## [19561] 9130 9297 9464 9631 9798 9965 10132 10220 10387 10554 10721 10888
## [19573] 11055 11222 11389 11556 11722 11889 12056 12223 12390 12557 12724 12891
## [19585] 13058 13225 13392 13559 13726 13893 14060 14227 14394 14561 14728 14895
## [19597] 15062 15229 15396 15563 15730 15897 16064 16231 16398 16503 16670 16836
## [19609] 17003 17170 17337 17504 17671 17838 18005 18172 18339 18506 18673 18840
## [19621] 19007 19174 19341 19508 19675 19842 20009 20176 20343 20510 20677 20844
## [19633] 21011 21178 21345 21512 21679 21846 22013 22180 22347 22514 22681 22848
## [19645] 23015 23182 23349 23513 23680 23847 24014 24181 24348 24515 24682 24849
## [19657] 25016 25183 25350 25517 25684 25851 26018 26185 26345 26512 26679 26846
## [19669] 27013 27180 27347 27514 27681 27848 28015 28182 28349 28516 28683 28850
## [19681] 29017 29184 29351 113 280 447 614 781 948 1115 1282 1449
## [19693] 1616 1783 1950 2117 2284 2451 2618 2785 2952 3119 3286 3453
## [19705] 3620 3787 3954 4121 4288 4455 4622 4789 4956 5123 5290 5457
## [19717] 5624 5791 5958 6125 6292 6459 6626 6793 6960 7127 7294 7461
## [19729] 7628 7795 7962 8129 8296 8463 8630 8797 8964 9131 9298 9465
## [19741] 9632 9799 9966 10133 10221 10388 10555 10722 10889 11056 11223 11390
## [19753] 11557 11723 11890 12057 12224 12391 12558 12725 12892 13059 13226 13393
## [19765] 13560 13727 13894 14061 14228 14395 14562 14729 14896 15063 15230 15397
## [19777] 15564 15731 15898 16065 16232 16399 16504 16671 16837 17004 17171 17338
## [19789] 17505 17672 17839 18006 18173 18340 18507 18674 18841 19008 19175 19342
## [19801] 19509 19676 19843 20010 20177 20344 20511 20678 20845 21012 21179 21346
## [19813] 21513 21680 21847 22014 22181 22348 22515 22682 22849 23016 23183 23350
## [19825] 23514 23681 23848 24015 24182 24349 24516 24683 24850 25017 25184 25351
## [19837] 25518 25685 25852 26019 26186 26346 26513 26680 26847 27014 27181 27348
## [19849] 27515 27682 27849 28016 28183 28350 28517 28684 28851 29018 29185 29352
## [19861] 114 281 448 615 782 949 1116 1283 1450 1617 1784 1951
## [19873] 2118 2285 2452 2619 2786 2953 3120 3287 3454 3621 3788 3955
## [19885] 4122 4289 4456 4623 4790 4957 5124 5291 5458 5625 5792 5959
## [19897] 6126 6293 6460 6627 6794 6961 7128 7295 7462 7629 7796 7963
## [19909] 8130 8297 8464 8631 8798 8965 9132 9299 9466 9633 9800 9967
## [19921] 10134 10222 10389 10556 10723 10890 11057 11224 11391 11558 11724 11891
## [19933] 12058 12225 12392 12559 12726 12893 13060 13227 13394 13561 13728 13895
## [19945] 14062 14229 14396 14563 14730 14897 15064 15231 15398 15565 15732 15899
## [19957] 16066 16233 16400 16505 16672 16838 17005 17172 17339 17506 17673 17840
## [19969] 18007 18174 18341 18508 18675 18842 19009 19176 19343 19510 19677 19844
## [19981] 20011 20178 20345 20512 20679 20846 21013 21180 21347 21514 21681 21848
## [19993] 22015 22182 22349 22516 22683 22850 23017 23184 23351 23515 23682 23849
## [20005] 24016 24183 24350 24517 24684 24851 25018 25185 25352 25519 25686 25853
## [20017] 26020 26187 26347 26514 26681 26848 27015 27182 27349 27516 27683 27850
## [20029] 28017 28184 28351 28518 28685 28852 29019 29186 29353 115 282 449
## [20041] 616 783 950 1117 1284 1451 1618 1785 1952 2119 2286 2453
## [20053] 2620 2787 2954 3121 3288 3455 3622 3789 3956 4123 4290 4457
## [20065] 4624 4791 4958 5125 5292 5459 5626 5793 5960 6127 6294 6461
## [20077] 6628 6795 6962 7129 7296 7463 7630 7797 7964 8131 8298 8465
## [20089] 8632 8799 8966 9133 9300 9467 9634 9801 9968 10135 10223 10390
## [20101] 10557 10724 10891 11058 11225 11392 11559 11725 11892 12059 12226 12393
## [20113] 12560 12727 12894 13061 13228 13395 13562 13729 13896 14063 14230 14397
## [20125] 14564 14731 14898 15065 15232 15399 15566 15733 15900 16067 16234 16401
## [20137] 16506 16673 16839 17006 17173 17340 17507 17674 17841 18008 18175 18342
## [20149] 18509 18676 18843 19010 19177 19344 19511 19678 19845 20012 20179 20346
## [20161] 20513 20680 20847 21014 21181 21348 21515 21682 21849 22016 22183 22350
## [20173] 22517 22684 22851 23018 23185 23352 23516 23683 23850 24017 24184 24351
## [20185] 24518 24685 24852 25019 25186 25353 25520 25687 25854 26021 26188 26348
## [20197] 26515 26682 26849 27016 27183 27350 27517 27684 27851 28018 28185 28352
## [20209] 28519 28686 28853 29020 29187 29354 116 283 450 617 784 951
## [20221] 1118 1285 1452 1619 1786 1953 2120 2287 2454 2621 2788 2955
## [20233] 3122 3289 3456 3623 3790 3957 4124 4291 4458 4625 4792 4959
## [20245] 5126 5293 5460 5627 5794 5961 6128 6295 6462 6629 6796 6963
## [20257] 7130 7297 7464 7631 7798 7965 8132 8299 8466 8633 8800 8967
## [20269] 9134 9301 9468 9635 9802 9969 10136 10224 10391 10558 10725 10892
## [20281] 11059 11226 11393 11560 11726 11893 12060 12227 12394 12561 12728 12895
## [20293] 13062 13229 13396 13563 13730 13897 14064 14231 14398 14565 14732 14899
## [20305] 15066 15233 15400 15567 15734 15901 16068 16235 16402 16507 16674 16840
## [20317] 17007 17174 17341 17508 17675 17842 18009 18176 18343 18510 18677 18844
## [20329] 19011 19178 19345 19512 19679 19846 20013 20180 20347 20514 20681 20848
## [20341] 21015 21182 21349 21516 21683 21850 22017 22184 22351 22518 22685 22852
## [20353] 23019 23186 23353 23517 23684 23851 24018 24185 24352 24519 24686 24853
## [20365] 25020 25187 25354 25521 25688 25855 26022 26189 26349 26516 26683 26850
## [20377] 27017 27184 27351 27518 27685 27852 28019 28186 28353 28520 28687 28854
## [20389] 29021 29188 29355 117 284 451 618 785 952 1119 1286 1453
## [20401] 1620 1787 1954 2121 2288 2455 2622 2789 2956 3123 3290 3457
## [20413] 3624 3791 3958 4125 4292 4459 4626 4793 4960 5127 5294 5461
## [20425] 5628 5795 5962 6129 6296 6463 6630 6797 6964 7131 7298 7465
## [20437] 7632 7799 7966 8133 8300 8467 8634 8801 8968 9135 9302 9469
## [20449] 9636 9803 9970 10137 10225 10392 10559 10726 10893 11060 11227 11394
## [20461] 11561 11727 11894 12061 12228 12395 12562 12729 12896 13063 13230 13397
## [20473] 13564 13731 13898 14065 14232 14399 14566 14733 14900 15067 15234 15401
## [20485] 15568 15735 15902 16069 16236 16403 16508 16675 16841 17008 17175 17342
## [20497] 17509 17676 17843 18010 18177 18344 18511 18678 18845 19012 19179 19346
## [20509] 19513 19680 19847 20014 20181 20348 20515 20682 20849 21016 21183 21350
## [20521] 21517 21684 21851 22018 22185 22352 22519 22686 22853 23020 23187 23354
## [20533] 23518 23685 23852 24019 24186 24353 24520 24687 24854 25021 25188 25355
## [20545] 25522 25689 25856 26023 26190 26350 26517 26684 26851 27018 27185 27352
## [20557] 27519 27686 27853 28020 28187 28354 28521 28688 28855 29022 29189 29356
## [20569] 118 285 452 619 786 953 1120 1287 1454 1621 1788 1955
## [20581] 2122 2289 2456 2623 2790 2957 3124 3291 3458 3625 3792 3959
## [20593] 4126 4293 4460 4627 4794 4961 5128 5295 5462 5629 5796 5963
## [20605] 6130 6297 6464 6631 6798 6965 7132 7299 7466 7633 7800 7967
## [20617] 8134 8301 8468 8635 8802 8969 9136 9303 9470 9637 9804 9971
## [20629] 10138 10226 10393 10560 10727 10894 11061 11228 11395 11562 11728 11895
## [20641] 12062 12229 12396 12563 12730 12897 13064 13231 13398 13565 13732 13899
## [20653] 14066 14233 14400 14567 14734 14901 15068 15235 15402 15569 15736 15903
## [20665] 16070 16237 16404 16509 16676 16842 17009 17176 17343 17510 17677 17844
## [20677] 18011 18178 18345 18512 18679 18846 19013 19180 19347 19514 19681 19848
## [20689] 20015 20182 20349 20516 20683 20850 21017 21184 21351 21518 21685 21852
## [20701] 22019 22186 22353 22520 22687 22854 23021 23188 23355 23519 23686 23853
## [20713] 24020 24187 24354 24521 24688 24855 25022 25189 25356 25523 25690 25857
## [20725] 26024 26191 26351 26518 26685 26852 27019 27186 27353 27520 27687 27854
## [20737] 28021 28188 28355 28522 28689 28856 29023 29190 29357 119 286 453
## [20749] 620 787 954 1121 1288 1455 1622 1789 1956 2123 2290 2457
## [20761] 2624 2791 2958 3125 3292 3459 3626 3793 3960 4127 4294 4461
## [20773] 4628 4795 4962 5129 5296 5463 5630 5797 5964 6131 6298 6465
## [20785] 6632 6799 6966 7133 7300 7467 7634 7801 7968 8135 8302 8469
## [20797] 8636 8803 8970 9137 9304 9471 9638 9805 9972 10139 10227 10394
## [20809] 10561 10728 10895 11062 11229 11396 11563 11729 11896 12063 12230 12397
## [20821] 12564 12731 12898 13065 13232 13399 13566 13733 13900 14067 14234 14401
## [20833] 14568 14735 14902 15069 15236 15403 15570 15737 15904 16071 16238 16405
## [20845] 16510 16677 16843 17010 17177 17344 17511 17678 17845 18012 18179 18346
## [20857] 18513 18680 18847 19014 19181 19348 19515 19682 19849 20016 20183 20350
## [20869] 20517 20684 20851 21018 21185 21352 21519 21686 21853 22020 22187 22354
## [20881] 22521 22688 22855 23022 23189 23356 23520 23687 23854 24021 24188 24355
## [20893] 24522 24689 24856 25023 25190 25357 25524 25691 25858 26025 26192 26352
## [20905] 26519 26686 26853 27020 27187 27354 27521 27688 27855 28022 28189 28356
## [20917] 28523 28690 28857 29024 29191 29358 120 287 454 621 788 955
## [20929] 1122 1289 1456 1623 1790 1957 2124 2291 2458 2625 2792 2959
## [20941] 3126 3293 3460 3627 3794 3961 4128 4295 4462 4629 4796 4963
## [20953] 5130 5297 5464 5631 5798 5965 6132 6299 6466 6633 6800 6967
## [20965] 7134 7301 7468 7635 7802 7969 8136 8303 8470 8637 8804 8971
## [20977] 9138 9305 9472 9639 9806 9973 10140 10228 10395 10562 10729 10896
## [20989] 11063 11230 11397 11564 11730 11897 12064 12231 12398 12565 12732 12899
## [21001] 13066 13233 13400 13567 13734 13901 14068 14235 14402 14569 14736 14903
## [21013] 15070 15237 15404 15571 15738 15905 16072 16239 16406 16511 16678 16844
## [21025] 17011 17178 17345 17512 17679 17846 18013 18180 18347 18514 18681 18848
## [21037] 19015 19182 19349 19516 19683 19850 20017 20184 20351 20518 20685 20852
## [21049] 21019 21186 21353 21520 21687 21854 22021 22188 22355 22522 22689 22856
## [21061] 23023 23190 23357 23521 23688 23855 24022 24189 24356 24523 24690 24857
## [21073] 25024 25191 25358 25525 25692 25859 26026 26193 26353 26520 26687 26854
## [21085] 27021 27188 27355 27522 27689 27856 28023 28190 28357 28524 28691 28858
## [21097] 29025 29192 29359 121 288 455 622 789 956 1123 1290 1457
## [21109] 1624 1791 1958 2125 2292 2459 2626 2793 2960 3127 3294 3461
## [21121] 3628 3795 3962 4129 4296 4463 4630 4797 4964 5131 5298 5465
## [21133] 5632 5799 5966 6133 6300 6467 6634 6801 6968 7135 7302 7469
## [21145] 7636 7803 7970 8137 8304 8471 8638 8805 8972 9139 9306 9473
## [21157] 9640 9807 9974 10141 10229 10396 10563 10730 10897 11064 11231 11398
## [21169] 11565 11731 11898 12065 12232 12399 12566 12733 12900 13067 13234 13401
## [21181] 13568 13735 13902 14069 14236 14403 14570 14737 14904 15071 15238 15405
## [21193] 15572 15739 15906 16073 16240 16407 16512 16679 16845 17012 17179 17346
## [21205] 17513 17680 17847 18014 18181 18348 18515 18682 18849 19016 19183 19350
## [21217] 19517 19684 19851 20018 20185 20352 20519 20686 20853 21020 21187 21354
## [21229] 21521 21688 21855 22022 22189 22356 22523 22690 22857 23024 23191 23358
## [21241] 23522 23689 23856 24023 24190 24357 24524 24691 24858 25025 25192 25359
## [21253] 25526 25693 25860 26027 26194 26354 26521 26688 26855 27022 27189 27356
## [21265] 27523 27690 27857 28024 28191 28358 28525 28692 28859 29026 29193 29360
## [21277] 122 289 456 623 790 957 1124 1291 1458 1625 1792 1959
## [21289] 2126 2293 2460 2627 2794 2961 3128 3295 3462 3629 3796 3963
## [21301] 4130 4297 4464 4631 4798 4965 5132 5299 5466 5633 5800 5967
## [21313] 6134 6301 6468 6635 6802 6969 7136 7303 7470 7637 7804 7971
## [21325] 8138 8305 8472 8639 8806 8973 9140 9307 9474 9641 9808 9975
## [21337] 10142 10230 10397 10564 10731 10898 11065 11232 11399 11566 11732 11899
## [21349] 12066 12233 12400 12567 12734 12901 13068 13235 13402 13569 13736 13903
## [21361] 14070 14237 14404 14571 14738 14905 15072 15239 15406 15573 15740 15907
## [21373] 16074 16241 16408 16513 16680 16846 17013 17180 17347 17514 17681 17848
## [21385] 18015 18182 18349 18516 18683 18850 19017 19184 19351 19518 19685 19852
## [21397] 20019 20186 20353 20520 20687 20854 21021 21188 21355 21522 21689 21856
## [21409] 22023 22190 22357 22524 22691 22858 23025 23192 23359 23523 23690 23857
## [21421] 24024 24191 24358 24525 24692 24859 25026 25193 25360 25527 25694 25861
## [21433] 26028 26195 26355 26522 26689 26856 27023 27190 27357 27524 27691 27858
## [21445] 28025 28192 28359 28526 28693 28860 29027 29194 29361 123 290 457
## [21457] 624 791 958 1125 1292 1459 1626 1793 1960 2127 2294 2461
## [21469] 2628 2795 2962 3129 3296 3463 3630 3797 3964 4131 4298 4465
## [21481] 4632 4799 4966 5133 5300 5467 5634 5801 5968 6135 6302 6469
## [21493] 6636 6803 6970 7137 7304 7471 7638 7805 7972 8139 8306 8473
## [21505] 8640 8807 8974 9141 9308 9475 9642 9809 9976 10143 10231 10398
## [21517] 10565 10732 10899 11066 11233 11400 11567 11733 11900 12067 12234 12401
## [21529] 12568 12735 12902 13069 13236 13403 13570 13737 13904 14071 14238 14405
## [21541] 14572 14739 14906 15073 15240 15407 15574 15741 15908 16075 16242 16409
## [21553] 16514 16681 16847 17014 17181 17348 17515 17682 17849 18016 18183 18350
## [21565] 18517 18684 18851 19018 19185 19352 19519 19686 19853 20020 20187 20354
## [21577] 20521 20688 20855 21022 21189 21356 21523 21690 21857 22024 22191 22358
## [21589] 22525 22692 22859 23026 23193 23360 23524 23691 23858 24025 24192 24359
## [21601] 24526 24693 24860 25027 25194 25361 25528 25695 25862 26029 26196 26356
## [21613] 26523 26690 26857 27024 27191 27358 27525 27692 27859 28026 28193 28360
## [21625] 28527 28694 28861 29028 29195 29362 124 291 458 625 792 959
## [21637] 1126 1293 1460 1627 1794 1961 2128 2295 2462 2629 2796 2963
## [21649] 3130 3297 3464 3631 3798 3965 4132 4299 4466 4633 4800 4967
## [21661] 5134 5301 5468 5635 5802 5969 6136 6303 6470 6637 6804 6971
## [21673] 7138 7305 7472 7639 7806 7973 8140 8307 8474 8641 8808 8975
## [21685] 9142 9309 9476 9643 9810 9977 10144 10232 10399 10566 10733 10900
## [21697] 11067 11234 11401 11568 11734 11901 12068 12235 12402 12569 12736 12903
## [21709] 13070 13237 13404 13571 13738 13905 14072 14239 14406 14573 14740 14907
## [21721] 15074 15241 15408 15575 15742 15909 16076 16243 16410 16515 16682 16848
## [21733] 17015 17182 17349 17516 17683 17850 18017 18184 18351 18518 18685 18852
## [21745] 19019 19186 19353 19520 19687 19854 20021 20188 20355 20522 20689 20856
## [21757] 21023 21190 21357 21524 21691 21858 22025 22192 22359 22526 22693 22860
## [21769] 23027 23194 23361 23525 23692 23859 24026 24193 24360 24527 24694 24861
## [21781] 25028 25195 25362 25529 25696 25863 26030 26197 26357 26524 26691 26858
## [21793] 27025 27192 27359 27526 27693 27860 28027 28194 28361 28528 28695 28862
## [21805] 29029 29196 29363 125 292 459 626 793 960 1127 1294 1461
## [21817] 1628 1795 1962 2129 2296 2463 2630 2797 2964 3131 3298 3465
## [21829] 3632 3799 3966 4133 4300 4467 4634 4801 4968 5135 5302 5469
## [21841] 5636 5803 5970 6137 6304 6471 6638 6805 6972 7139 7306 7473
## [21853] 7640 7807 7974 8141 8308 8475 8642 8809 8976 9143 9310 9477
## [21865] 9644 9811 9978 10145 10233 10400 10567 10734 10901 11068 11235 11402
## [21877] 11569 11735 11902 12069 12236 12403 12570 12737 12904 13071 13238 13405
## [21889] 13572 13739 13906 14073 14240 14407 14574 14741 14908 15075 15242 15409
## [21901] 15576 15743 15910 16077 16244 16411 16516 16683 16849 17016 17183 17350
## [21913] 17517 17684 17851 18018 18185 18352 18519 18686 18853 19020 19187 19354
## [21925] 19521 19688 19855 20022 20189 20356 20523 20690 20857 21024 21191 21358
## [21937] 21525 21692 21859 22026 22193 22360 22527 22694 22861 23028 23195 23362
## [21949] 23526 23693 23860 24027 24194 24361 24528 24695 24862 25029 25196 25363
## [21961] 25530 25697 25864 26031 26198 26358 26525 26692 26859 27026 27193 27360
## [21973] 27527 27694 27861 28028 28195 28362 28529 28696 28863 29030 29197 29364
## [21985] 126 293 460 627 794 961 1128 1295 1462 1629 1796 1963
## [21997] 2130 2297 2464 2631 2798 2965 3132 3299 3466 3633 3800 3967
## [22009] 4134 4301 4468 4635 4802 4969 5136 5303 5470 5637 5804 5971
## [22021] 6138 6305 6472 6639 6806 6973 7140 7307 7474 7641 7808 7975
## [22033] 8142 8309 8476 8643 8810 8977 9144 9311 9478 9645 9812 9979
## [22045] 10146 10234 10401 10568 10735 10902 11069 11236 11403 11570 11736 11903
## [22057] 12070 12237 12404 12571 12738 12905 13072 13239 13406 13573 13740 13907
## [22069] 14074 14241 14408 14575 14742 14909 15076 15243 15410 15577 15744 15911
## [22081] 16078 16245 16412 16517 16684 16850 17017 17184 17351 17518 17685 17852
## [22093] 18019 18186 18353 18520 18687 18854 19021 19188 19355 19522 19689 19856
## [22105] 20023 20190 20357 20524 20691 20858 21025 21192 21359 21526 21693 21860
## [22117] 22027 22194 22361 22528 22695 22862 23029 23196 23363 23527 23694 23861
## [22129] 24028 24195 24362 24529 24696 24863 25030 25197 25364 25531 25698 25865
## [22141] 26032 26199 26359 26526 26693 26860 27027 27194 27361 27528 27695 27862
## [22153] 28029 28196 28363 28530 28697 28864 29031 29198 29365 127 294 461
## [22165] 628 795 962 1129 1296 1463 1630 1797 1964 2131 2298 2465
## [22177] 2632 2799 2966 3133 3300 3467 3634 3801 3968 4135 4302 4469
## [22189] 4636 4803 4970 5137 5304 5471 5638 5805 5972 6139 6306 6473
## [22201] 6640 6807 6974 7141 7308 7475 7642 7809 7976 8143 8310 8477
## [22213] 8644 8811 8978 9145 9312 9479 9646 9813 9980 10147 10235 10402
## [22225] 10569 10736 10903 11070 11237 11404 11571 11737 11904 12071 12238 12405
## [22237] 12572 12739 12906 13073 13240 13407 13574 13741 13908 14075 14242 14409
## [22249] 14576 14743 14910 15077 15244 15411 15578 15745 15912 16079 16246 16413
## [22261] 16518 16685 16851 17018 17185 17352 17519 17686 17853 18020 18187 18354
## [22273] 18521 18688 18855 19022 19189 19356 19523 19690 19857 20024 20191 20358
## [22285] 20525 20692 20859 21026 21193 21360 21527 21694 21861 22028 22195 22362
## [22297] 22529 22696 22863 23030 23197 23364 23528 23695 23862 24029 24196 24363
## [22309] 24530 24697 24864 25031 25198 25365 25532 25699 25866 26033 26200 26360
## [22321] 26527 26694 26861 27028 27195 27362 27529 27696 27863 28030 28197 28364
## [22333] 28531 28698 28865 29032 29199 29366 128 295 462 629 796 963
## [22345] 1130 1297 1464 1631 1798 1965 2132 2299 2466 2633 2800 2967
## [22357] 3134 3301 3468 3635 3802 3969 4136 4303 4470 4637 4804 4971
## [22369] 5138 5305 5472 5639 5806 5973 6140 6307 6474 6641 6808 6975
## [22381] 7142 7309 7476 7643 7810 7977 8144 8311 8478 8645 8812 8979
## [22393] 9146 9313 9480 9647 9814 9981 10148 10236 10403 10570 10737 10904
## [22405] 11071 11238 11405 11572 11738 11905 12072 12239 12406 12573 12740 12907
## [22417] 13074 13241 13408 13575 13742 13909 14076 14243 14410 14577 14744 14911
## [22429] 15078 15245 15412 15579 15746 15913 16080 16247 16414 16519 16686 16852
## [22441] 17019 17186 17353 17520 17687 17854 18021 18188 18355 18522 18689 18856
## [22453] 19023 19190 19357 19524 19691 19858 20025 20192 20359 20526 20693 20860
## [22465] 21027 21194 21361 21528 21695 21862 22029 22196 22363 22530 22697 22864
## [22477] 23031 23198 23365 23529 23696 23863 24030 24197 24364 24531 24698 24865
## [22489] 25032 25199 25366 25533 25700 25867 26034 26201 26361 26528 26695 26862
## [22501] 27029 27196 27363 27530 27697 27864 28031 28198 28365 28532 28699 28866
## [22513] 29033 29200 29367 129 296 463 630 797 964 1131 1298 1465
## [22525] 1632 1799 1966 2133 2300 2467 2634 2801 2968 3135 3302 3469
## [22537] 3636 3803 3970 4137 4304 4471 4638 4805 4972 5139 5306 5473
## [22549] 5640 5807 5974 6141 6308 6475 6642 6809 6976 7143 7310 7477
## [22561] 7644 7811 7978 8145 8312 8479 8646 8813 8980 9147 9314 9481
## [22573] 9648 9815 9982 10149 10237 10404 10571 10738 10905 11072 11239 11406
## [22585] 11573 11739 11906 12073 12240 12407 12574 12741 12908 13075 13242 13409
## [22597] 13576 13743 13910 14077 14244 14411 14578 14745 14912 15079 15246 15413
## [22609] 15580 15747 15914 16081 16248 16415 16520 16687 16853 17020 17187 17354
## [22621] 17521 17688 17855 18022 18189 18356 18523 18690 18857 19024 19191 19358
## [22633] 19525 19692 19859 20026 20193 20360 20527 20694 20861 21028 21195 21362
## [22645] 21529 21696 21863 22030 22197 22364 22531 22698 22865 23032 23199 23366
## [22657] 23530 23697 23864 24031 24198 24365 24532 24699 24866 25033 25200 25367
## [22669] 25534 25701 25868 26035 26202 26362 26529 26696 26863 27030 27197 27364
## [22681] 27531 27698 27865 28032 28199 28366 28533 28700 28867 29034 29201 29368
## [22693] 130 297 464 631 798 965 1132 1299 1466 1633 1800 1967
## [22705] 2134 2301 2468 2635 2802 2969 3136 3303 3470 3637 3804 3971
## [22717] 4138 4305 4472 4639 4806 4973 5140 5307 5474 5641 5808 5975
## [22729] 6142 6309 6476 6643 6810 6977 7144 7311 7478 7645 7812 7979
## [22741] 8146 8313 8480 8647 8814 8981 9148 9315 9482 9649 9816 9983
## [22753] 10150 10238 10405 10572 10739 10906 11073 11240 11407 11574 11740 11907
## [22765] 12074 12241 12408 12575 12742 12909 13076 13243 13410 13577 13744 13911
## [22777] 14078 14245 14412 14579 14746 14913 15080 15247 15414 15581 15748 15915
## [22789] 16082 16249 16416 16521 16688 16854 17021 17188 17355 17522 17689 17856
## [22801] 18023 18190 18357 18524 18691 18858 19025 19192 19359 19526 19693 19860
## [22813] 20027 20194 20361 20528 20695 20862 21029 21196 21363 21530 21697 21864
## [22825] 22031 22198 22365 22532 22699 22866 23033 23200 23367 23531 23698 23865
## [22837] 24032 24199 24366 24533 24700 24867 25034 25201 25368 25535 25702 25869
## [22849] 26036 26203 26363 26530 26697 26864 27031 27198 27365 27532 27699 27866
## [22861] 28033 28200 28367 28534 28701 28868 29035 29202 29369 131 298 465
## [22873] 632 799 966 1133 1300 1467 1634 1801 1968 2135 2302 2469
## [22885] 2636 2803 2970 3137 3304 3471 3638 3805 3972 4139 4306 4473
## [22897] 4640 4807 4974 5141 5308 5475 5642 5809 5976 6143 6310 6477
## [22909] 6644 6811 6978 7145 7312 7479 7646 7813 7980 8147 8314 8481
## [22921] 8648 8815 8982 9149 9316 9483 9650 9817 9984 10151 10239 10406
## [22933] 10573 10740 10907 11074 11241 11408 11575 11741 11908 12075 12242 12409
## [22945] 12576 12743 12910 13077 13244 13411 13578 13745 13912 14079 14246 14413
## [22957] 14580 14747 14914 15081 15248 15415 15582 15749 15916 16083 16250 16417
## [22969] 16522 16689 16855 17022 17189 17356 17523 17690 17857 18024 18191 18358
## [22981] 18525 18692 18859 19026 19193 19360 19527 19694 19861 20028 20195 20362
## [22993] 20529 20696 20863 21030 21197 21364 21531 21698 21865 22032 22199 22366
## [23005] 22533 22700 22867 23034 23201 23368 23532 23699 23866 24033 24200 24367
## [23017] 24534 24701 24868 25035 25202 25369 25536 25703 25870 26037 26204 26364
## [23029] 26531 26698 26865 27032 27199 27366 27533 27700 27867 28034 28201 28368
## [23041] 28535 28702 28869 29036 29203 29370 132 299 466 633 800 967
## [23053] 1134 1301 1468 1635 1802 1969 2136 2303 2470 2637 2804 2971
## [23065] 3138 3305 3472 3639 3806 3973 4140 4307 4474 4641 4808 4975
## [23077] 5142 5309 5476 5643 5810 5977 6144 6311 6478 6645 6812 6979
## [23089] 7146 7313 7480 7647 7814 7981 8148 8315 8482 8649 8816 8983
## [23101] 9150 9317 9484 9651 9818 9985 10152 10240 10407 10574 10741 10908
## [23113] 11075 11242 11409 11576 11742 11909 12076 12243 12410 12577 12744 12911
## [23125] 13078 13245 13412 13579 13746 13913 14080 14247 14414 14581 14748 14915
## [23137] 15082 15249 15416 15583 15750 15917 16084 16251 16418 16523 16690 16856
## [23149] 17023 17190 17357 17524 17691 17858 18025 18192 18359 18526 18693 18860
## [23161] 19027 19194 19361 19528 19695 19862 20029 20196 20363 20530 20697 20864
## [23173] 21031 21198 21365 21532 21699 21866 22033 22200 22367 22534 22701 22868
## [23185] 23035 23202 23369 23533 23700 23867 24034 24201 24368 24535 24702 24869
## [23197] 25036 25203 25370 25537 25704 25871 26038 26205 26365 26532 26699 26866
## [23209] 27033 27200 27367 27534 27701 27868 28035 28202 28369 28536 28703 28870
## [23221] 29037 29204 29371 133 300 467 634 801 968 1135 1302 1469
## [23233] 1636 1803 1970 2137 2304 2471 2638 2805 2972 3139 3306 3473
## [23245] 3640 3807 3974 4141 4308 4475 4642 4809 4976 5143 5310 5477
## [23257] 5644 5811 5978 6145 6312 6479 6646 6813 6980 7147 7314 7481
## [23269] 7648 7815 7982 8149 8316 8483 8650 8817 8984 9151 9318 9485
## [23281] 9652 9819 9986 10153 10241 10408 10575 10742 10909 11076 11243 11410
## [23293] 11577 11743 11910 12077 12244 12411 12578 12745 12912 13079 13246 13413
## [23305] 13580 13747 13914 14081 14248 14415 14582 14749 14916 15083 15250 15417
## [23317] 15584 15751 15918 16085 16252 16419 16524 16691 16857 17024 17191 17358
## [23329] 17525 17692 17859 18026 18193 18360 18527 18694 18861 19028 19195 19362
## [23341] 19529 19696 19863 20030 20197 20364 20531 20698 20865 21032 21199 21366
## [23353] 21533 21700 21867 22034 22201 22368 22535 22702 22869 23036 23203 23370
## [23365] 23534 23701 23868 24035 24202 24369 24536 24703 24870 25037 25204 25371
## [23377] 25538 25705 25872 26039 26206 26366 26533 26700 26867 27034 27201 27368
## [23389] 27535 27702 27869 28036 28203 28370 28537 28704 28871 29038 29205 29372
## [23401] 134 301 468 635 802 969 1136 1303 1470 1637 1804 1971
## [23413] 2138 2305 2472 2639 2806 2973 3140 3307 3474 3641 3808 3975
## [23425] 4142 4309 4476 4643 4810 4977 5144 5311 5478 5645 5812 5979
## [23437] 6146 6313 6480 6647 6814 6981 7148 7315 7482 7649 7816 7983
## [23449] 8150 8317 8484 8651 8818 8985 9152 9319 9486 9653 9820 9987
## [23461] 10154 10242 10409 10576 10743 10910 11077 11244 11411 11578 11744 11911
## [23473] 12078 12245 12412 12579 12746 12913 13080 13247 13414 13581 13748 13915
## [23485] 14082 14249 14416 14583 14750 14917 15084 15251 15418 15585 15752 15919
## [23497] 16086 16253 16420 16525 16692 16858 17025 17192 17359 17526 17693 17860
## [23509] 18027 18194 18361 18528 18695 18862 19029 19196 19363 19530 19697 19864
## [23521] 20031 20198 20365 20532 20699 20866 21033 21200 21367 21534 21701 21868
## [23533] 22035 22202 22369 22536 22703 22870 23037 23204 23371 23535 23702 23869
## [23545] 24036 24203 24370 24537 24704 24871 25038 25205 25372 25539 25706 25873
## [23557] 26040 26207 26367 26534 26701 26868 27035 27202 27369 27536 27703 27870
## [23569] 28037 28204 28371 28538 28705 28872 29039 29206 29373 135 302 469
## [23581] 636 803 970 1137 1304 1471 1638 1805 1972 2139 2306 2473
## [23593] 2640 2807 2974 3141 3308 3475 3642 3809 3976 4143 4310 4477
## [23605] 4644 4811 4978 5145 5312 5479 5646 5813 5980 6147 6314 6481
## [23617] 6648 6815 6982 7149 7316 7483 7650 7817 7984 8151 8318 8485
## [23629] 8652 8819 8986 9153 9320 9487 9654 9821 9988 10155 10243 10410
## [23641] 10577 10744 10911 11078 11245 11412 11579 11745 11912 12079 12246 12413
## [23653] 12580 12747 12914 13081 13248 13415 13582 13749 13916 14083 14250 14417
## [23665] 14584 14751 14918 15085 15252 15419 15586 15753 15920 16087 16254 16421
## [23677] 16526 16693 16859 17026 17193 17360 17527 17694 17861 18028 18195 18362
## [23689] 18529 18696 18863 19030 19197 19364 19531 19698 19865 20032 20199 20366
## [23701] 20533 20700 20867 21034 21201 21368 21535 21702 21869 22036 22203 22370
## [23713] 22537 22704 22871 23038 23205 23372 23536 23703 23870 24037 24204 24371
## [23725] 24538 24705 24872 25039 25206 25373 25540 25707 25874 26041 26208 26368
## [23737] 26535 26702 26869 27036 27203 27370 27537 27704 27871 28038 28205 28372
## [23749] 28539 28706 28873 29040 29207 29374 136 303 470 637 804 971
## [23761] 1138 1305 1472 1639 1806 1973 2140 2307 2474 2641 2808 2975
## [23773] 3142 3309 3476 3643 3810 3977 4144 4311 4478 4645 4812 4979
## [23785] 5146 5313 5480 5647 5814 5981 6148 6315 6482 6649 6816 6983
## [23797] 7150 7317 7484 7651 7818 7985 8152 8319 8486 8653 8820 8987
## [23809] 9154 9321 9488 9655 9822 9989 10156 10244 10411 10578 10745 10912
## [23821] 11079 11246 11413 11580 11746 11913 12080 12247 12414 12581 12748 12915
## [23833] 13082 13249 13416 13583 13750 13917 14084 14251 14418 14585 14752 14919
## [23845] 15086 15253 15420 15587 15754 15921 16088 16255 16422 16527 16694 16860
## [23857] 17027 17194 17361 17528 17695 17862 18029 18196 18363 18530 18697 18864
## [23869] 19031 19198 19365 19532 19699 19866 20033 20200 20367 20534 20701 20868
## [23881] 21035 21202 21369 21536 21703 21870 22037 22204 22371 22538 22705 22872
## [23893] 23039 23206 23373 23537 23704 23871 24038 24205 24372 24539 24706 24873
## [23905] 25040 25207 25374 25541 25708 25875 26042 26209 26369 26536 26703 26870
## [23917] 27037 27204 27371 27538 27705 27872 28039 28206 28373 28540 28707 28874
## [23929] 29041 29208 29375 137 304 471 638 805 972 1139 1306 1473
## [23941] 1640 1807 1974 2141 2308 2475 2642 2809 2976 3143 3310 3477
## [23953] 3644 3811 3978 4145 4312 4479 4646 4813 4980 5147 5314 5481
## [23965] 5648 5815 5982 6149 6316 6483 6650 6817 6984 7151 7318 7485
## [23977] 7652 7819 7986 8153 8320 8487 8654 8821 8988 9155 9322 9489
## [23989] 9656 9823 9990 10157 10245 10412 10579 10746 10913 11080 11247 11414
## [24001] 11581 11747 11914 12081 12248 12415 12582 12749 12916 13083 13250 13417
## [24013] 13584 13751 13918 14085 14252 14419 14586 14753 14920 15087 15254 15421
## [24025] 15588 15755 15922 16089 16256 16423 16528 16695 16861 17028 17195 17362
## [24037] 17529 17696 17863 18030 18197 18364 18531 18698 18865 19032 19199 19366
## [24049] 19533 19700 19867 20034 20201 20368 20535 20702 20869 21036 21203 21370
## [24061] 21537 21704 21871 22038 22205 22372 22539 22706 22873 23040 23207 23374
## [24073] 23538 23705 23872 24039 24206 24373 24540 24707 24874 25041 25208 25375
## [24085] 25542 25709 25876 26043 26210 26370 26537 26704 26871 27038 27205 27372
## [24097] 27539 27706 27873 28040 28207 28374 28541 28708 28875 29042 29209 29376
## [24109] 138 305 472 639 806 973 1140 1307 1474 1641 1808 1975
## [24121] 2142 2309 2476 2643 2810 2977 3144 3311 3478 3645 3812 3979
## [24133] 4146 4313 4480 4647 4814 4981 5148 5315 5482 5649 5816 5983
## [24145] 6150 6317 6484 6651 6818 6985 7152 7319 7486 7653 7820 7987
## [24157] 8154 8321 8488 8655 8822 8989 9156 9323 9490 9657 9824 9991
## [24169] 10158 10246 10413 10580 10747 10914 11081 11248 11415 11582 11748 11915
## [24181] 12082 12249 12416 12583 12750 12917 13084 13251 13418 13585 13752 13919
## [24193] 14086 14253 14420 14587 14754 14921 15088 15255 15422 15589 15756 15923
## [24205] 16090 16257 16424 16529 16696 16862 17029 17196 17363 17530 17697 17864
## [24217] 18031 18198 18365 18532 18699 18866 19033 19200 19367 19534 19701 19868
## [24229] 20035 20202 20369 20536 20703 20870 21037 21204 21371 21538 21705 21872
## [24241] 22039 22206 22373 22540 22707 22874 23041 23208 23375 23539 23706 23873
## [24253] 24040 24207 24374 24541 24708 24875 25042 25209 25376 25543 25710 25877
## [24265] 26044 26211 26371 26538 26705 26872 27039 27206 27373 27540 27707 27874
## [24277] 28041 28208 28375 28542 28709 28876 29043 29210 29377 139 306 473
## [24289] 640 807 974 1141 1308 1475 1642 1809 1976 2143 2310 2477
## [24301] 2644 2811 2978 3145 3312 3479 3646 3813 3980 4147 4314 4481
## [24313] 4648 4815 4982 5149 5316 5483 5650 5817 5984 6151 6318 6485
## [24325] 6652 6819 6986 7153 7320 7487 7654 7821 7988 8155 8322 8489
## [24337] 8656 8823 8990 9157 9324 9491 9658 9825 9992 10159 10247 10414
## [24349] 10581 10748 10915 11082 11249 11416 11583 11749 11916 12083 12250 12417
## [24361] 12584 12751 12918 13085 13252 13419 13586 13753 13920 14087 14254 14421
## [24373] 14588 14755 14922 15089 15256 15423 15590 15757 15924 16091 16258 16425
## [24385] 16530 16697 16863 17030 17197 17364 17531 17698 17865 18032 18199 18366
## [24397] 18533 18700 18867 19034 19201 19368 19535 19702 19869 20036 20203 20370
## [24409] 20537 20704 20871 21038 21205 21372 21539 21706 21873 22040 22207 22374
## [24421] 22541 22708 22875 23042 23209 23376 23540 23707 23874 24041 24208 24375
## [24433] 24542 24709 24876 25043 25210 25377 25544 25711 25878 26045 26212 26372
## [24445] 26539 26706 26873 27040 27207 27374 27541 27708 27875 28042 28209 28376
## [24457] 28543 28710 28877 29044 29211 29378 140 307 474 641 808 975
## [24469] 1142 1309 1476 1643 1810 1977 2144 2311 2478 2645 2812 2979
## [24481] 3146 3313 3480 3647 3814 3981 4148 4315 4482 4649 4816 4983
## [24493] 5150 5317 5484 5651 5818 5985 6152 6319 6486 6653 6820 6987
## [24505] 7154 7321 7488 7655 7822 7989 8156 8323 8490 8657 8824 8991
## [24517] 9158 9325 9492 9659 9826 9993 10160 10248 10415 10582 10749 10916
## [24529] 11083 11250 11417 11584 11750 11917 12084 12251 12418 12585 12752 12919
## [24541] 13086 13253 13420 13587 13754 13921 14088 14255 14422 14589 14756 14923
## [24553] 15090 15257 15424 15591 15758 15925 16092 16259 16426 16531 16698 16864
## [24565] 17031 17198 17365 17532 17699 17866 18033 18200 18367 18534 18701 18868
## [24577] 19035 19202 19369 19536 19703 19870 20037 20204 20371 20538 20705 20872
## [24589] 21039 21206 21373 21540 21707 21874 22041 22208 22375 22542 22709 22876
## [24601] 23043 23210 23377 23541 23708 23875 24042 24209 24376 24543 24710 24877
## [24613] 25044 25211 25378 25545 25712 25879 26046 26213 26373 26540 26707 26874
## [24625] 27041 27208 27375 27542 27709 27876 28043 28210 28377 28544 28711 28878
## [24637] 29045 29212 29379 141 308 475 642 809 976 1143 1310 1477
## [24649] 1644 1811 1978 2145 2312 2479 2646 2813 2980 3147 3314 3481
## [24661] 3648 3815 3982 4149 4316 4483 4650 4817 4984 5151 5318 5485
## [24673] 5652 5819 5986 6153 6320 6487 6654 6821 6988 7155 7322 7489
## [24685] 7656 7823 7990 8157 8324 8491 8658 8825 8992 9159 9326 9493
## [24697] 9660 9827 9994 10161 10249 10416 10583 10750 10917 11084 11251 11418
## [24709] 11585 11751 11918 12085 12252 12419 12586 12753 12920 13087 13254 13421
## [24721] 13588 13755 13922 14089 14256 14423 14590 14757 14924 15091 15258 15425
## [24733] 15592 15759 15926 16093 16260 16427 16532 16699 16865 17032 17199 17366
## [24745] 17533 17700 17867 18034 18201 18368 18535 18702 18869 19036 19203 19370
## [24757] 19537 19704 19871 20038 20205 20372 20539 20706 20873 21040 21207 21374
## [24769] 21541 21708 21875 22042 22209 22376 22543 22710 22877 23044 23211 23378
## [24781] 23542 23709 23876 24043 24210 24377 24544 24711 24878 25045 25212 25379
## [24793] 25546 25713 25880 26047 26214 26374 26541 26708 26875 27042 27209 27376
## [24805] 27543 27710 27877 28044 28211 28378 28545 28712 28879 29046 29213 29380
## [24817] 142 309 476 643 810 977 1144 1311 1478 1645 1812 1979
## [24829] 2146 2313 2480 2647 2814 2981 3148 3315 3482 3649 3816 3983
## [24841] 4150 4317 4484 4651 4818 4985 5152 5319 5486 5653 5820 5987
## [24853] 6154 6321 6488 6655 6822 6989 7156 7323 7490 7657 7824 7991
## [24865] 8158 8325 8492 8659 8826 8993 9160 9327 9494 9661 9828 9995
## [24877] 10162 10250 10417 10584 10751 10918 11085 11252 11419 11586 11752 11919
## [24889] 12086 12253 12420 12587 12754 12921 13088 13255 13422 13589 13756 13923
## [24901] 14090 14257 14424 14591 14758 14925 15092 15259 15426 15593 15760 15927
## [24913] 16094 16261 16428 16533 16700 16866 17033 17200 17367 17534 17701 17868
## [24925] 18035 18202 18369 18536 18703 18870 19037 19204 19371 19538 19705 19872
## [24937] 20039 20206 20373 20540 20707 20874 21041 21208 21375 21542 21709 21876
## [24949] 22043 22210 22377 22544 22711 22878 23045 23212 23379 23543 23710 23877
## [24961] 24044 24211 24378 24545 24712 24879 25046 25213 25380 25547 25714 25881
## [24973] 26048 26215 26375 26542 26709 26876 27043 27210 27377 27544 27711 27878
## [24985] 28045 28212 28379 28546 28713 28880 29047 29214 29381 143 310 477
## [24997] 644 811 978 1145 1312 1479 1646 1813 1980 2147 2314 2481
## [25009] 2648 2815 2982 3149 3316 3483 3650 3817 3984 4151 4318 4485
## [25021] 4652 4819 4986 5153 5320 5487 5654 5821 5988 6155 6322 6489
## [25033] 6656 6823 6990 7157 7324 7491 7658 7825 7992 8159 8326 8493
## [25045] 8660 8827 8994 9161 9328 9495 9662 9829 9996 10163 10251 10418
## [25057] 10585 10752 10919 11086 11253 11420 11587 11753 11920 12087 12254 12421
## [25069] 12588 12755 12922 13089 13256 13423 13590 13757 13924 14091 14258 14425
## [25081] 14592 14759 14926 15093 15260 15427 15594 15761 15928 16095 16262 16429
## [25093] 16534 16701 16867 17034 17201 17368 17535 17702 17869 18036 18203 18370
## [25105] 18537 18704 18871 19038 19205 19372 19539 19706 19873 20040 20207 20374
## [25117] 20541 20708 20875 21042 21209 21376 21543 21710 21877 22044 22211 22378
## [25129] 22545 22712 22879 23046 23213 23380 23544 23711 23878 24045 24212 24379
## [25141] 24546 24713 24880 25047 25214 25381 25548 25715 25882 26049 26216 26376
## [25153] 26543 26710 26877 27044 27211 27378 27545 27712 27879 28046 28213 28380
## [25165] 28547 28714 28881 29048 29215 29382 144 311 478 645 812 979
## [25177] 1146 1313 1480 1647 1814 1981 2148 2315 2482 2649 2816 2983
## [25189] 3150 3317 3484 3651 3818 3985 4152 4319 4486 4653 4820 4987
## [25201] 5154 5321 5488 5655 5822 5989 6156 6323 6490 6657 6824 6991
## [25213] 7158 7325 7492 7659 7826 7993 8160 8327 8494 8661 8828 8995
## [25225] 9162 9329 9496 9663 9830 9997 10164 10252 10419 10586 10753 10920
## [25237] 11087 11254 11421 11588 11754 11921 12088 12255 12422 12589 12756 12923
## [25249] 13090 13257 13424 13591 13758 13925 14092 14259 14426 14593 14760 14927
## [25261] 15094 15261 15428 15595 15762 15929 16096 16263 16430 16535 16702 16868
## [25273] 17035 17202 17369 17536 17703 17870 18037 18204 18371 18538 18705 18872
## [25285] 19039 19206 19373 19540 19707 19874 20041 20208 20375 20542 20709 20876
## [25297] 21043 21210 21377 21544 21711 21878 22045 22212 22379 22546 22713 22880
## [25309] 23047 23214 23381 23545 23712 23879 24046 24213 24380 24547 24714 24881
## [25321] 25048 25215 25382 25549 25716 25883 26050 26217 26377 26544 26711 26878
## [25333] 27045 27212 27379 27546 27713 27880 28047 28214 28381 28548 28715 28882
## [25345] 29049 29216 29383 145 312 479 646 813 980 1147 1314 1481
## [25357] 1648 1815 1982 2149 2316 2483 2650 2817 2984 3151 3318 3485
## [25369] 3652 3819 3986 4153 4320 4487 4654 4821 4988 5155 5322 5489
## [25381] 5656 5823 5990 6157 6324 6491 6658 6825 6992 7159 7326 7493
## [25393] 7660 7827 7994 8161 8328 8495 8662 8829 8996 9163 9330 9497
## [25405] 9664 9831 9998 10165 10253 10420 10587 10754 10921 11088 11255 11422
## [25417] 11589 11755 11922 12089 12256 12423 12590 12757 12924 13091 13258 13425
## [25429] 13592 13759 13926 14093 14260 14427 14594 14761 14928 15095 15262 15429
## [25441] 15596 15763 15930 16097 16264 16431 16536 16703 16869 17036 17203 17370
## [25453] 17537 17704 17871 18038 18205 18372 18539 18706 18873 19040 19207 19374
## [25465] 19541 19708 19875 20042 20209 20376 20543 20710 20877 21044 21211 21378
## [25477] 21545 21712 21879 22046 22213 22380 22547 22714 22881 23048 23215 23382
## [25489] 23546 23713 23880 24047 24214 24381 24548 24715 24882 25049 25216 25383
## [25501] 25550 25717 25884 26051 26218 26378 26545 26712 26879 27046 27213 27380
## [25513] 27547 27714 27881 28048 28215 28382 28549 28716 28883 29050 29217 29384
## [25525] 146 313 480 647 814 981 1148 1315 1482 1649 1816 1983
## [25537] 2150 2317 2484 2651 2818 2985 3152 3319 3486 3653 3820 3987
## [25549] 4154 4321 4488 4655 4822 4989 5156 5323 5490 5657 5824 5991
## [25561] 6158 6325 6492 6659 6826 6993 7160 7327 7494 7661 7828 7995
## [25573] 8162 8329 8496 8663 8830 8997 9164 9331 9498 9665 9832 9999
## [25585] 10166 10254 10421 10588 10755 10922 11089 11256 11423 11590 11756 11923
## [25597] 12090 12257 12424 12591 12758 12925 13092 13259 13426 13593 13760 13927
## [25609] 14094 14261 14428 14595 14762 14929 15096 15263 15430 15597 15764 15931
## [25621] 16098 16265 16432 16537 16704 16870 17037 17204 17371 17538 17705 17872
## [25633] 18039 18206 18373 18540 18707 18874 19041 19208 19375 19542 19709 19876
## [25645] 20043 20210 20377 20544 20711 20878 21045 21212 21379 21546 21713 21880
## [25657] 22047 22214 22381 22548 22715 22882 23049 23216 23383 23547 23714 23881
## [25669] 24048 24215 24382 24549 24716 24883 25050 25217 25384 25551 25718 25885
## [25681] 26052 26219 26379 26546 26713 26880 27047 27214 27381 27548 27715 27882
## [25693] 28049 28216 28383 28550 28717 28884 29051 29218 29385 147 314 481
## [25705] 648 815 982 1149 1316 1483 1650 1817 1984 2151 2318 2485
## [25717] 2652 2819 2986 3153 3320 3487 3654 3821 3988 4155 4322 4489
## [25729] 4656 4823 4990 5157 5324 5491 5658 5825 5992 6159 6326 6493
## [25741] 6660 6827 6994 7161 7328 7495 7662 7829 7996 8163 8330 8497
## [25753] 8664 8831 8998 9165 9332 9499 9666 9833 10000 10167 10255 10422
## [25765] 10589 10756 10923 11090 11257 11424 11591 11757 11924 12091 12258 12425
## [25777] 12592 12759 12926 13093 13260 13427 13594 13761 13928 14095 14262 14429
## [25789] 14596 14763 14930 15097 15264 15431 15598 15765 15932 16099 16266 16433
## [25801] 16538 16705 16871 17038 17205 17372 17539 17706 17873 18040 18207 18374
## [25813] 18541 18708 18875 19042 19209 19376 19543 19710 19877 20044 20211 20378
## [25825] 20545 20712 20879 21046 21213 21380 21547 21714 21881 22048 22215 22382
## [25837] 22549 22716 22883 23050 23217 23384 23548 23715 23882 24049 24216 24383
## [25849] 24550 24717 24884 25051 25218 25385 25552 25719 25886 26053 26220 26380
## [25861] 26547 26714 26881 27048 27215 27382 27549 27716 27883 28050 28217 28384
## [25873] 28551 28718 28885 29052 29219 29386 148 315 482 649 816 983
## [25885] 1150 1317 1484 1651 1818 1985 2152 2319 2486 2653 2820 2987
## [25897] 3154 3321 3488 3655 3822 3989 4156 4323 4490 4657 4824 4991
## [25909] 5158 5325 5492 5659 5826 5993 6160 6327 6494 6661 6828 6995
## [25921] 7162 7329 7496 7663 7830 7997 8164 8331 8498 8665 8832 8999
## [25933] 9166 9333 9500 9667 9834 10001 10168 10256 10423 10590 10757 10924
## [25945] 11091 11258 11425 11592 11758 11925 12092 12259 12426 12593 12760 12927
## [25957] 13094 13261 13428 13595 13762 13929 14096 14263 14430 14597 14764 14931
## [25969] 15098 15265 15432 15599 15766 15933 16100 16267 16434 16539 16706 16872
## [25981] 17039 17206 17373 17540 17707 17874 18041 18208 18375 18542 18709 18876
## [25993] 19043 19210 19377 19544 19711 19878 20045 20212 20379 20546 20713 20880
## [26005] 21047 21214 21381 21548 21715 21882 22049 22216 22383 22550 22717 22884
## [26017] 23051 23218 23385 23549 23716 23883 24050 24217 24384 24551 24718 24885
## [26029] 25052 25219 25386 25553 25720 25887 26054 26221 26381 26548 26715 26882
## [26041] 27049 27216 27383 27550 27717 27884 28051 28218 28385 28552 28719 28886
## [26053] 29053 29220 29387 149 316 483 650 817 984 1151 1318 1485
## [26065] 1652 1819 1986 2153 2320 2487 2654 2821 2988 3155 3322 3489
## [26077] 3656 3823 3990 4157 4324 4491 4658 4825 4992 5159 5326 5493
## [26089] 5660 5827 5994 6161 6328 6495 6662 6829 6996 7163 7330 7497
## [26101] 7664 7831 7998 8165 8332 8499 8666 8833 9000 9167 9334 9501
## [26113] 9668 9835 10002 10169 10257 10424 10591 10758 10925 11092 11259 11426
## [26125] 11593 11759 11926 12093 12260 12427 12594 12761 12928 13095 13262 13429
## [26137] 13596 13763 13930 14097 14264 14431 14598 14765 14932 15099 15266 15433
## [26149] 15600 15767 15934 16101 16268 16435 16540 16707 16873 17040 17207 17374
## [26161] 17541 17708 17875 18042 18209 18376 18543 18710 18877 19044 19211 19378
## [26173] 19545 19712 19879 20046 20213 20380 20547 20714 20881 21048 21215 21382
## [26185] 21549 21716 21883 22050 22217 22384 22551 22718 22885 23052 23219 23386
## [26197] 23550 23717 23884 24051 24218 24385 24552 24719 24886 25053 25220 25387
## [26209] 25554 25721 25888 26055 26222 26382 26549 26716 26883 27050 27217 27384
## [26221] 27551 27718 27885 28052 28219 28386 28553 28720 28887 29054 29221 29388
## [26233] 150 317 484 651 818 985 1152 1319 1486 1653 1820 1987
## [26245] 2154 2321 2488 2655 2822 2989 3156 3323 3490 3657 3824 3991
## [26257] 4158 4325 4492 4659 4826 4993 5160 5327 5494 5661 5828 5995
## [26269] 6162 6329 6496 6663 6830 6997 7164 7331 7498 7665 7832 7999
## [26281] 8166 8333 8500 8667 8834 9001 9168 9335 9502 9669 9836 10003
## [26293] 10170 10258 10425 10592 10759 10926 11093 11260 11427 11594 11760 11927
## [26305] 12094 12261 12428 12595 12762 12929 13096 13263 13430 13597 13764 13931
## [26317] 14098 14265 14432 14599 14766 14933 15100 15267 15434 15601 15768 15935
## [26329] 16102 16269 16436 16541 16708 16874 17041 17208 17375 17542 17709 17876
## [26341] 18043 18210 18377 18544 18711 18878 19045 19212 19379 19546 19713 19880
## [26353] 20047 20214 20381 20548 20715 20882 21049 21216 21383 21550 21717 21884
## [26365] 22051 22218 22385 22552 22719 22886 23053 23220 23387 23551 23718 23885
## [26377] 24052 24219 24386 24553 24720 24887 25054 25221 25388 25555 25722 25889
## [26389] 26056 26223 26383 26550 26717 26884 27051 27218 27385 27552 27719 27886
## [26401] 28053 28220 28387 28554 28721 28888 29055 29222 29389 151 318 485
## [26413] 652 819 986 1153 1320 1487 1654 1821 1988 2155 2322 2489
## [26425] 2656 2823 2990 3157 3324 3491 3658 3825 3992 4159 4326 4493
## [26437] 4660 4827 4994 5161 5328 5495 5662 5829 5996 6163 6330 6497
## [26449] 6664 6831 6998 7165 7332 7499 7666 7833 8000 8167 8334 8501
## [26461] 8668 8835 9002 9169 9336 9503 9670 9837 10004 10171 10259 10426
## [26473] 10593 10760 10927 11094 11261 11428 11595 11761 11928 12095 12262 12429
## [26485] 12596 12763 12930 13097 13264 13431 13598 13765 13932 14099 14266 14433
## [26497] 14600 14767 14934 15101 15268 15435 15602 15769 15936 16103 16270 16437
## [26509] 16542 16709 16875 17042 17209 17376 17543 17710 17877 18044 18211 18378
## [26521] 18545 18712 18879 19046 19213 19380 19547 19714 19881 20048 20215 20382
## [26533] 20549 20716 20883 21050 21217 21384 21551 21718 21885 22052 22219 22386
## [26545] 22553 22720 22887 23054 23221 23388 23552 23719 23886 24053 24220 24387
## [26557] 24554 24721 24888 25055 25222 25389 25556 25723 25890 26057 26224 26384
## [26569] 26551 26718 26885 27052 27219 27386 27553 27720 27887 28054 28221 28388
## [26581] 28555 28722 28889 29056 29223 29390 152 319 486 653 820 987
## [26593] 1154 1321 1488 1655 1822 1989 2156 2323 2490 2657 2824 2991
## [26605] 3158 3325 3492 3659 3826 3993 4160 4327 4494 4661 4828 4995
## [26617] 5162 5329 5496 5663 5830 5997 6164 6331 6498 6665 6832 6999
## [26629] 7166 7333 7500 7667 7834 8001 8168 8335 8502 8669 8836 9003
## [26641] 9170 9337 9504 9671 9838 10005 10172 10260 10427 10594 10761 10928
## [26653] 11095 11262 11429 11596 11762 11929 12096 12263 12430 12597 12764 12931
## [26665] 13098 13265 13432 13599 13766 13933 14100 14267 14434 14601 14768 14935
## [26677] 15102 15269 15436 15603 15770 15937 16104 16271 16438 16543 16710 16876
## [26689] 17043 17210 17377 17544 17711 17878 18045 18212 18379 18546 18713 18880
## [26701] 19047 19214 19381 19548 19715 19882 20049 20216 20383 20550 20717 20884
## [26713] 21051 21218 21385 21552 21719 21886 22053 22220 22387 22554 22721 22888
## [26725] 23055 23222 23389 23553 23720 23887 24054 24221 24388 24555 24722 24889
## [26737] 25056 25223 25390 25557 25724 25891 26058 26225 26385 26552 26719 26886
## [26749] 27053 27220 27387 27554 27721 27888 28055 28222 28389 28556 28723 28890
## [26761] 29057 29224 29391 153 320 487 654 821 988 1155 1322 1489
## [26773] 1656 1823 1990 2157 2324 2491 2658 2825 2992 3159 3326 3493
## [26785] 3660 3827 3994 4161 4328 4495 4662 4829 4996 5163 5330 5497
## [26797] 5664 5831 5998 6165 6332 6499 6666 6833 7000 7167 7334 7501
## [26809] 7668 7835 8002 8169 8336 8503 8670 8837 9004 9171 9338 9505
## [26821] 9672 9839 10006 10173 10261 10428 10595 10762 10929 11096 11263 11430
## [26833] 11597 11763 11930 12097 12264 12431 12598 12765 12932 13099 13266 13433
## [26845] 13600 13767 13934 14101 14268 14435 14602 14769 14936 15103 15270 15437
## [26857] 15604 15771 15938 16105 16272 16439 16544 16711 16877 17044 17211 17378
## [26869] 17545 17712 17879 18046 18213 18380 18547 18714 18881 19048 19215 19382
## [26881] 19549 19716 19883 20050 20217 20384 20551 20718 20885 21052 21219 21386
## [26893] 21553 21720 21887 22054 22221 22388 22555 22722 22889 23056 23223 23390
## [26905] 23554 23721 23888 24055 24222 24389 24556 24723 24890 25057 25224 25391
## [26917] 25558 25725 25892 26059 26226 26386 26553 26720 26887 27054 27221 27388
## [26929] 27555 27722 27889 28056 28223 28390 28557 28724 28891 29058 29225 29392
## [26941] 154 321 488 655 822 989 1156 1323 1490 1657 1824 1991
## [26953] 2158 2325 2492 2659 2826 2993 3160 3327 3494 3661 3828 3995
## [26965] 4162 4329 4496 4663 4830 4997 5164 5331 5498 5665 5832 5999
## [26977] 6166 6333 6500 6667 6834 7001 7168 7335 7502 7669 7836 8003
## [26989] 8170 8337 8504 8671 8838 9005 9172 9339 9506 9673 9840 10007
## [27001] 10174 10262 10429 10596 10763 10930 11097 11264 11431 11598 11764 11931
## [27013] 12098 12265 12432 12599 12766 12933 13100 13267 13434 13601 13768 13935
## [27025] 14102 14269 14436 14603 14770 14937 15104 15271 15438 15605 15772 15939
## [27037] 16106 16273 16440 16545 16712 16878 17045 17212 17379 17546 17713 17880
## [27049] 18047 18214 18381 18548 18715 18882 19049 19216 19383 19550 19717 19884
## [27061] 20051 20218 20385 20552 20719 20886 21053 21220 21387 21554 21721 21888
## [27073] 22055 22222 22389 22556 22723 22890 23057 23224 23391 23555 23722 23889
## [27085] 24056 24223 24390 24557 24724 24891 25058 25225 25392 25559 25726 25893
## [27097] 26060 26227 26387 26554 26721 26888 27055 27222 27389 27556 27723 27890
## [27109] 28057 28224 28391 28558 28725 28892 29059 29226 29393 155 322 489
## [27121] 656 823 990 1157 1324 1491 1658 1825 1992 2159 2326 2493
## [27133] 2660 2827 2994 3161 3328 3495 3662 3829 3996 4163 4330 4497
## [27145] 4664 4831 4998 5165 5332 5499 5666 5833 6000 6167 6334 6501
## [27157] 6668 6835 7002 7169 7336 7503 7670 7837 8004 8171 8338 8505
## [27169] 8672 8839 9006 9173 9340 9507 9674 9841 10008 10175 10263 10430
## [27181] 10597 10764 10931 11098 11265 11432 11599 11765 11932 12099 12266 12433
## [27193] 12600 12767 12934 13101 13268 13435 13602 13769 13936 14103 14270 14437
## [27205] 14604 14771 14938 15105 15272 15439 15606 15773 15940 16107 16274 16441
## [27217] 16546 16713 16879 17046 17213 17380 17547 17714 17881 18048 18215 18382
## [27229] 18549 18716 18883 19050 19217 19384 19551 19718 19885 20052 20219 20386
## [27241] 20553 20720 20887 21054 21221 21388 21555 21722 21889 22056 22223 22390
## [27253] 22557 22724 22891 23058 23225 23392 23556 23723 23890 24057 24224 24391
## [27265] 24558 24725 24892 25059 25226 25393 25560 25727 25894 26061 26228 26388
## [27277] 26555 26722 26889 27056 27223 27390 27557 27724 27891 28058 28225 28392
## [27289] 28559 28726 28893 29060 29227 29394 156 323 490 657 824 991
## [27301] 1158 1325 1492 1659 1826 1993 2160 2327 2494 2661 2828 2995
## [27313] 3162 3329 3496 3663 3830 3997 4164 4331 4498 4665 4832 4999
## [27325] 5166 5333 5500 5667 5834 6001 6168 6335 6502 6669 6836 7003
## [27337] 7170 7337 7504 7671 7838 8005 8172 8339 8506 8673 8840 9007
## [27349] 9174 9341 9508 9675 9842 10009 10176 10264 10431 10598 10765 10932
## [27361] 11099 11266 11433 11600 11766 11933 12100 12267 12434 12601 12768 12935
## [27373] 13102 13269 13436 13603 13770 13937 14104 14271 14438 14605 14772 14939
## [27385] 15106 15273 15440 15607 15774 15941 16108 16275 16442 16547 16714 16880
## [27397] 17047 17214 17381 17548 17715 17882 18049 18216 18383 18550 18717 18884
## [27409] 19051 19218 19385 19552 19719 19886 20053 20220 20387 20554 20721 20888
## [27421] 21055 21222 21389 21556 21723 21890 22057 22224 22391 22558 22725 22892
## [27433] 23059 23226 23393 23557 23724 23891 24058 24225 24392 24559 24726 24893
## [27445] 25060 25227 25394 25561 25728 25895 26062 26229 26389 26556 26723 26890
## [27457] 27057 27224 27391 27558 27725 27892 28059 28226 28393 28560 28727 28894
## [27469] 29061 29228 29395 157 324 491 658 825 992 1159 1326 1493
## [27481] 1660 1827 1994 2161 2328 2495 2662 2829 2996 3163 3330 3497
## [27493] 3664 3831 3998 4165 4332 4499 4666 4833 5000 5167 5334 5501
## [27505] 5668 5835 6002 6169 6336 6503 6670 6837 7004 7171 7338 7505
## [27517] 7672 7839 8006 8173 8340 8507 8674 8841 9008 9175 9342 9509
## [27529] 9676 9843 10010 10177 10265 10432 10599 10766 10933 11100 11267 11434
## [27541] 11601 11767 11934 12101 12268 12435 12602 12769 12936 13103 13270 13437
## [27553] 13604 13771 13938 14105 14272 14439 14606 14773 14940 15107 15274 15441
## [27565] 15608 15775 15942 16109 16276 16443 16548 16715 16881 17048 17215 17382
## [27577] 17549 17716 17883 18050 18217 18384 18551 18718 18885 19052 19219 19386
## [27589] 19553 19720 19887 20054 20221 20388 20555 20722 20889 21056 21223 21390
## [27601] 21557 21724 21891 22058 22225 22392 22559 22726 22893 23060 23227 23394
## [27613] 23558 23725 23892 24059 24226 24393 24560 24727 24894 25061 25228 25395
## [27625] 25562 25729 25896 26063 26230 26390 26557 26724 26891 27058 27225 27392
## [27637] 27559 27726 27893 28060 28227 28394 28561 28728 28895 29062 29229 29396
## [27649] 158 325 492 659 826 993 1160 1327 1494 1661 1828 1995
## [27661] 2162 2329 2496 2663 2830 2997 3164 3331 3498 3665 3832 3999
## [27673] 4166 4333 4500 4667 4834 5001 5168 5335 5502 5669 5836 6003
## [27685] 6170 6337 6504 6671 6838 7005 7172 7339 7506 7673 7840 8007
## [27697] 8174 8341 8508 8675 8842 9009 9176 9343 9510 9677 9844 10011
## [27709] 10178 10266 10433 10600 10767 10934 11101 11268 11435 11602 11768 11935
## [27721] 12102 12269 12436 12603 12770 12937 13104 13271 13438 13605 13772 13939
## [27733] 14106 14273 14440 14607 14774 14941 15108 15275 15442 15609 15776 15943
## [27745] 16110 16277 16444 16549 16716 16882 17049 17216 17383 17550 17717 17884
## [27757] 18051 18218 18385 18552 18719 18886 19053 19220 19387 19554 19721 19888
## [27769] 20055 20222 20389 20556 20723 20890 21057 21224 21391 21558 21725 21892
## [27781] 22059 22226 22393 22560 22727 22894 23061 23228 23395 23559 23726 23893
## [27793] 24060 24227 24394 24561 24728 24895 25062 25229 25396 25563 25730 25897
## [27805] 26064 26231 26391 26558 26725 26892 27059 27226 27393 27560 27727 27894
## [27817] 28061 28228 28395 28562 28729 28896 29063 29230 29397 159 326 493
## [27829] 660 827 994 1161 1328 1495 1662 1829 1996 2163 2330 2497
## [27841] 2664 2831 2998 3165 3332 3499 3666 3833 4000 4167 4334 4501
## [27853] 4668 4835 5002 5169 5336 5503 5670 5837 6004 6171 6338 6505
## [27865] 6672 6839 7006 7173 7340 7507 7674 7841 8008 8175 8342 8509
## [27877] 8676 8843 9010 9177 9344 9511 9678 9845 10012 10179 10267 10434
## [27889] 10601 10768 10935 11102 11269 11436 11603 11769 11936 12103 12270 12437
## [27901] 12604 12771 12938 13105 13272 13439 13606 13773 13940 14107 14274 14441
## [27913] 14608 14775 14942 15109 15276 15443 15610 15777 15944 16111 16278 16445
## [27925] 16550 16717 16883 17050 17217 17384 17551 17718 17885 18052 18219 18386
## [27937] 18553 18720 18887 19054 19221 19388 19555 19722 19889 20056 20223 20390
## [27949] 20557 20724 20891 21058 21225 21392 21559 21726 21893 22060 22227 22394
## [27961] 22561 22728 22895 23062 23229 23396 23560 23727 23894 24061 24228 24395
## [27973] 24562 24729 24896 25063 25230 25397 25564 25731 25898 26065 26232 26392
## [27985] 26559 26726 26893 27060 27227 27394 27561 27728 27895 28062 28229 28396
## [27997] 28563 28730 28897 29064 29231 29398 160 327 494 661 828 995
## [28009] 1162 1329 1496 1663 1830 1997 2164 2331 2498 2665 2832 2999
## [28021] 3166 3333 3500 3667 3834 4001 4168 4335 4502 4669 4836 5003
## [28033] 5170 5337 5504 5671 5838 6005 6172 6339 6506 6673 6840 7007
## [28045] 7174 7341 7508 7675 7842 8009 8176 8343 8510 8677 8844 9011
## [28057] 9178 9345 9512 9679 9846 10013 10180 10268 10435 10602 10769 10936
## [28069] 11103 11270 11437 11604 11770 11937 12104 12271 12438 12605 12772 12939
## [28081] 13106 13273 13440 13607 13774 13941 14108 14275 14442 14609 14776 14943
## [28093] 15110 15277 15444 15611 15778 15945 16112 16279 16446 16551 16718 16884
## [28105] 17051 17218 17385 17552 17719 17886 18053 18220 18387 18554 18721 18888
## [28117] 19055 19222 19389 19556 19723 19890 20057 20224 20391 20558 20725 20892
## [28129] 21059 21226 21393 21560 21727 21894 22061 22228 22395 22562 22729 22896
## [28141] 23063 23230 23397 23561 23728 23895 24062 24229 24396 24563 24730 24897
## [28153] 25064 25231 25398 25565 25732 25899 26066 26233 26393 26560 26727 26894
## [28165] 27061 27228 27395 27562 27729 27896 28063 28230 28397 28564 28731 28898
## [28177] 29065 29232 29399 161 328 495 662 829 996 1163 1330 1497
## [28189] 1664 1831 1998 2165 2332 2499 2666 2833 3000 3167 3334 3501
## [28201] 3668 3835 4002 4169 4336 4503 4670 4837 5004 5171 5338 5505
## [28213] 5672 5839 6006 6173 6340 6507 6674 6841 7008 7175 7342 7509
## [28225] 7676 7843 8010 8177 8344 8511 8678 8845 9012 9179 9346 9513
## [28237] 9680 9847 10014 10181 10269 10436 10603 10770 10937 11104 11271 11438
## [28249] 11605 11771 11938 12105 12272 12439 12606 12773 12940 13107 13274 13441
## [28261] 13608 13775 13942 14109 14276 14443 14610 14777 14944 15111 15278 15445
## [28273] 15612 15779 15946 16113 16280 16447 16552 16719 16885 17052 17219 17386
## [28285] 17553 17720 17887 18054 18221 18388 18555 18722 18889 19056 19223 19390
## [28297] 19557 19724 19891 20058 20225 20392 20559 20726 20893 21060 21227 21394
## [28309] 21561 21728 21895 22062 22229 22396 22563 22730 22897 23064 23231 23398
## [28321] 23562 23729 23896 24063 24230 24397 24564 24731 24898 25065 25232 25399
## [28333] 25566 25733 25900 26067 26394 26561 26728 26895 27062 27229 27396 27563
## [28345] 27730 27897 28064 28231 28398 28565 28732 28899 29066 29233 29400 162
## [28357] 329 496 663 830 997 1164 1331 1498 1665 1832 1999 2166
## [28369] 2333 2500 2667 2834 3001 3168 3335 3502 3669 3836 4003 4170
## [28381] 4337 4504 4671 4838 5005 5172 5339 5506 5673 5840 6007 6174
## [28393] 6341 6508 6675 6842 7009 7176 7343 7510 7677 7844 8011 8178
## [28405] 8345 8512 8679 8846 9013 9180 9347 9514 9681 9848 10015 10182
## [28417] 10270 10437 10604 10771 10938 11105 11272 11439 11606 11772 11939 12106
## [28429] 12273 12440 12607 12774 12941 13108 13275 13442 13609 13776 13943 14110
## [28441] 14277 14444 14611 14778 14945 15112 15279 15446 15613 15780 15947 16114
## [28453] 16281 16448 16553 16720 16886 17053 17220 17387 17554 17721 17888 18055
## [28465] 18222 18389 18556 18723 18890 19057 19224 19391 19558 19725 19892 20059
## [28477] 20226 20393 20560 20727 20894 21061 21228 21395 21562 21729 21896 22063
## [28489] 22230 22397 22564 22731 22898 23065 23232 23399 23563 23730 23897 24064
## [28501] 24231 24398 24565 24732 24899 25066 25233 25400 25567 25734 25901 26068
## [28513] 26395 26562 26729 26896 27063 27230 27397 27564 27731 27898 28065 28232
## [28525] 28399 28566 28733 28900 29067 29234 29401 163 330 497 664 831
## [28537] 998 1165 1332 1499 1666 1833 2000 2167 2334 2501 2668 2835
## [28549] 3002 3169 3336 3503 3670 3837 4004 4171 4338 4505 4672 4839
## [28561] 5006 5173 5340 5507 5674 5841 6008 6175 6342 6509 6676 6843
## [28573] 7010 7177 7344 7511 7678 7845 8012 8179 8346 8513 8680 8847
## [28585] 9014 9181 9348 9515 9682 9849 10016 10183 10271 10438 10605 10772
## [28597] 10939 11106 11273 11440 11607 11773 11940 12107 12274 12441 12608 12775
## [28609] 12942 13109 13276 13443 13610 13777 13944 14111 14278 14445 14612 14779
## [28621] 14946 15113 15280 15447 15614 15781 15948 16115 16282 16449 16554 16721
## [28633] 16887 17054 17221 17388 17555 17722 17889 18056 18223 18390 18557 18724
## [28645] 18891 19058 19225 19392 19559 19726 19893 20060 20227 20394 20561 20728
## [28657] 20895 21062 21229 21396 21563 21730 21897 22064 22231 22398 22565 22732
## [28669] 22899 23066 23233 23400 23564 23731 23898 24065 24232 24399 24566 24733
## [28681] 24900 25067 25234 25401 25568 25735 25902 26069 26396 26563 26730 26897
## [28693] 27064 27231 27398 27565 27732 27899 28066 28233 28400 28567 28734 28901
## [28705] 29068 29235 29402 164 331 498 665 832 999 1166 1333 1500
## [28717] 1667 1834 2001 2168 2335 2502 2669 2836 3003 3170 3337 3504
## [28729] 3671 3838 4005 4172 4339 4506 4673 4840 5007 5174 5341 5508
## [28741] 5675 5842 6009 6176 6343 6510 6677 6844 7011 7178 7345 7512
## [28753] 7679 7846 8013 8180 8347 8514 8681 8848 9015 9182 9349 9516
## [28765] 9683 9850 10017 10184 10272 10439 10606 10773 10940 11107 11274 11441
## [28777] 11608 11774 11941 12108 12275 12442 12609 12776 12943 13110 13277 13444
## [28789] 13611 13778 13945 14112 14279 14446 14613 14780 14947 15114 15281 15448
## [28801] 15615 15782 15949 16116 16283 16450 16555 16722 16888 17055 17222 17389
## [28813] 17556 17723 17890 18057 18224 18391 18558 18725 18892 19059 19226 19393
## [28825] 19560 19727 19894 20061 20228 20395 20562 20729 20896 21063 21230 21397
## [28837] 21564 21731 21898 22065 22232 22399 22566 22733 22900 23067 23234 23401
## [28849] 23565 23732 23899 24066 24233 24400 24567 24734 24901 25068 25235 25402
## [28861] 25569 25736 25903 26070 26397 26564 26731 26898 27065 27232 27399 27566
## [28873] 27733 27900 28067 28234 28401 28568 28735 28902 29069 29236 29403 165
## [28885] 332 499 666 833 1000 1167 1334 1501 1668 1835 2002 2169
## [28897] 2336 2503 2670 2837 3004 3171 3338 3505 3672 3839 4006 4173
## [28909] 4340 4507 4674 4841 5008 5175 5342 5509 5676 5843 6010 6177
## [28921] 6344 6511 6678 6845 7012 7179 7346 7513 7680 7847 8014 8181
## [28933] 8348 8515 8682 8849 9016 9183 9350 9517 9684 9851 10018 10185
## [28945] 10273 10440 10607 10774 10941 11108 11275 11442 11609 11775 11942 12109
## [28957] 12276 12443 12610 12777 12944 13111 13278 13445 13612 13779 13946 14113
## [28969] 14280 14447 14614 14781 14948 15115 15282 15449 15616 15783 15950 16117
## [28981] 16284 16451 16556 16723 16889 17056 17223 17390 17557 17724 17891 18058
## [28993] 18225 18392 18559 18726 18893 19060 19227 19394 19561 19728 19895 20062
## [29005] 20229 20396 20563 20730 20897 21064 21231 21398 21565 21732 21899 22066
## [29017] 22233 22400 22567 22734 22901 23068 23235 23566 23733 23900 24067 24234
## [29029] 24401 24568 24735 24902 25069 25236 25403 25570 25737 25904 26071 26398
## [29041] 26565 26732 26899 27066 27233 27400 27567 27734 27901 28068 28235 28402
## [29053] 28569 28736 28903 29070 29237 29404 166 333 500 667 834 1001
## [29065] 1168 1335 1502 1669 1836 2003 2170 2337 2504 2671 2838 3005
## [29077] 3172 3339 3506 3673 3840 4007 4174 4341 4508 4675 4842 5009
## [29089] 5176 5343 5510 5677 5844 6011 6178 6345 6512 6679 6846 7013
## [29101] 7180 7347 7514 7681 7848 8015 8182 8349 8516 8683 8850 9017
## [29113] 9184 9351 9518 9685 9852 10019 10186 10274 10441 10608 10775 10942
## [29125] 11109 11276 11443 11610 11776 11943 12110 12277 12444 12611 12778 12945
## [29137] 13112 13279 13446 13613 13780 13947 14114 14281 14448 14615 14782 14949
## [29149] 15116 15283 15450 15617 15784 15951 16118 16285 16452 16557 16724 16890
## [29161] 17057 17224 17391 17558 17725 17892 18059 18226 18393 18560 18727 18894
## [29173] 19061 19228 19395 19562 19729 19896 20063 20230 20397 20564 20731 20898
## [29185] 21065 21232 21399 21566 21733 21900 22067 22234 22401 22568 22735 22902
## [29197] 23069 23236 23567 23734 23901 24068 24235 24402 24569 24736 24903 25070
## [29209] 25237 25404 25571 25738 25905 26072 26399 26566 26733 26900 27067 27234
## [29221] 27401 27568 27735 27902 28069 28236 28403 28570 28737 28904 29071 29238
## [29233] 29405 167 334 501 668 835 1002 1169 1336 1503 1670 1837
## [29245] 2004 2171 2338 2505 2672 2839 3006 3173 3340 3507 3674 3841
## [29257] 4008 4175 4342 4509 4676 4843 5010 5177 5344 5511 5678 5845
## [29269] 6012 6179 6346 6513 6680 6847 7014 7181 7348 7515 7682 7849
## [29281] 8016 8183 8350 8517 8684 8851 9018 9185 9352 9519 9686 9853
## [29293] 10020 10187 10275 10442 10609 10776 10943 11110 11277 11444 11777 11944
## [29305] 12111 12278 12445 12612 12779 12946 13113 13280 13447 13614 13781 13948
## [29317] 14115 14282 14449 14616 14783 14950 15117 15284 15451 15618 15785 15952
## [29329] 16119 16286 16453 16558 16891 17058 17225 17392 17559 17726 17893 18060
## [29341] 18227 18394 18561 18728 18895 19062 19229 19396 19563 19730 19897 20064
## [29353] 20231 20398 20565 20732 20899 21066 21233 21400 21567 21734 21901 22068
## [29365] 22235 22402 22569 22736 22903 23070 23237 23568 23735 23902 24069 24236
## [29377] 24403 24570 24737 24904 25071 25238 25405 25572 25739 25906 26073 26400
## [29389] 26567 26734 26901 27068 27235 27402 27569 27736 27903 28070 28237 28404
## [29401] 28571 28738 28905 29072 29239
# Then, I correct country and variable names.
Government_Responses$COUNTRY <- Government_Responses$CountryName
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Cape Verde", "Cabo Verde", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Congo", "Congo (Brazzaville)", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Democratic Republic of Congo", "Congo (Kinshasa)", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Myanmar", "Burma", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Czech Republic", "Czechia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Swaziland", "Eswatini", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Krygz Republic", "Kyrgyzstan", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "South Korea", "Korea, South", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Macedonia", "North Macedonia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Slovak Republic", "Slovakia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Macedonia", "North Macedonia", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Taiwan", "Taiwan*", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "Timor", "Timor-Leste", Government_Responses$COUNTRY)
Government_Responses$COUNTRY <- ifelse(Government_Responses$COUNTRY == "United States", "US", Government_Responses$COUNTRY)
Government_Responses <- Government_Responses[order(Government_Responses$CountryName, Government_Responses$Date),]
colnames(Government_Responses)
## [1] "CountryName"
## [2] "CountryCode"
## [3] "Date"
## [4] "C1_School closing"
## [5] "C1_Flag"
## [6] "C2_Workplace closing"
## [7] "C2_Flag"
## [8] "C3_Cancel public events"
## [9] "C3_Flag"
## [10] "C4_Restrictions on gatherings"
## [11] "C4_Flag"
## [12] "C5_Close public transport"
## [13] "C5_Flag"
## [14] "C6_Stay at home requirements"
## [15] "C6_Flag"
## [16] "C7_Restrictions on internal movement"
## [17] "C7_Flag"
## [18] "C8_International travel controls"
## [19] "E1_Income support"
## [20] "E1_Flag"
## [21] "E2_Debt/contract relief"
## [22] "E3_Fiscal measures"
## [23] "E4_International support"
## [24] "H1_Public information campaigns"
## [25] "H1_Flag"
## [26] "H2_Testing policy"
## [27] "H3_Contact tracing"
## [28] "H4_Emergency investment in healthcare"
## [29] "H5_Investment in vaccines"
## [30] "M1_Wildcard"
## [31] "ConfirmedCases"
## [32] "ConfirmedDeaths"
## [33] "StringencyIndex"
## [34] "StringencyIndexForDisplay"
## [35] "StringencyLegacyIndex"
## [36] "StringencyLegacyIndexForDisplay"
## [37] "GovernmentResponseIndex"
## [38] "GovernmentResponseIndexForDisplay"
## [39] "ContainmentHealthIndex"
## [40] "ContainmentHealthIndexForDisplay"
## [41] "EconomicSupportIndex"
## [42] "EconomicSupportIndexForDisplay"
## [43] "COUNTRY"
Government_Responses$C1_School.closing <- Government_Responses$`C1_School closing`
Government_Responses$C2_Workplace.closing <- Government_Responses$`C2_Workplace closing`
Government_Responses$C3_Cancel.public.events <- Government_Responses$`C3_Cancel public events`
Government_Responses$C4_Restrictions.on.gatherings <- Government_Responses$`C4_Restrictions on gatherings`
Government_Responses$C5_Close.public.transport <- Government_Responses$`C5_Close public transport`
Government_Responses$C6_Stay.at.home.requirements <- Government_Responses$`C6_Stay at home requirements`
Government_Responses$C7_Restrictions.on.internal.movement <- Government_Responses$`C7_Restrictions on internal movement`
Government_Responses$C8_International.travel.controls <- Government_Responses$`C8_International travel controls`
Government_Responses$E1_Income.support <- Government_Responses$`E1_Income support`
Government_Responses$E2_Debt.contract.relief <- Government_Responses$`E2_Debt/contract relief`
Government_Responses$E3_Fiscal.measures <- Government_Responses$`E3_Fiscal measures`
Government_Responses$E4_International.support <- Government_Responses$`E4_International support`
Government_Responses$H1_Public.information.campaigns <- Government_Responses$`H1_Public information campaigns`
Government_Responses$H2_Testing.policy <- Government_Responses$`H2_Testing policy`
Government_Responses$H3_Contact.tracing <- Government_Responses$`H3_Contact tracing`
Government_Responses$H4_Emergency.investment.in.healthcare <- Government_Responses$`H4_Emergency investment in healthcare`
Government_Responses$H5_Investment.in.vaccines <- Government_Responses$`H5_Investment in vaccines`
# I now subset the data. PLEASE NOTE the observations change in this merge. Oxford began collecting data before Hopkins started tracking cases and deaths. For simplicity, I use the merged data from before to visualize the confirmed cases and deaths (as these dates are filtered correctly).
Government_Responses <- subset(Government_Responses, is.element(Government_Responses$COUNTRY, Temporary_Data_Country$COUNTRY))
# Note that we have two sets of variables for confirmed cases and deaths. The first, I label "Oxford_Cases" and "Oxford_Deaths". The second (from John Hopkins) I label "Total_Cases_Country" and "Total_Deceased_Country". At a later date, we might want to cross-reference these values. Note that Oxford does not provide calculations for province/state; however it is highly likely they used the (same) John Hopkins data.
Government_Responses$Oxford_Cases <- Government_Responses$ConfirmedCases
Government_Responses$Oxford_Deaths <- Government_Responses$ConfirmedDeaths
# Once more, I only keep the variables we are interested in. I elect not to keep the notes... these can be re-added if preferred. E4_International.support also has almost no values above 0, so it is dropped.
colnames(Government_Responses)
## [1] "CountryName"
## [2] "CountryCode"
## [3] "Date"
## [4] "C1_School closing"
## [5] "C1_Flag"
## [6] "C2_Workplace closing"
## [7] "C2_Flag"
## [8] "C3_Cancel public events"
## [9] "C3_Flag"
## [10] "C4_Restrictions on gatherings"
## [11] "C4_Flag"
## [12] "C5_Close public transport"
## [13] "C5_Flag"
## [14] "C6_Stay at home requirements"
## [15] "C6_Flag"
## [16] "C7_Restrictions on internal movement"
## [17] "C7_Flag"
## [18] "C8_International travel controls"
## [19] "E1_Income support"
## [20] "E1_Flag"
## [21] "E2_Debt/contract relief"
## [22] "E3_Fiscal measures"
## [23] "E4_International support"
## [24] "H1_Public information campaigns"
## [25] "H1_Flag"
## [26] "H2_Testing policy"
## [27] "H3_Contact tracing"
## [28] "H4_Emergency investment in healthcare"
## [29] "H5_Investment in vaccines"
## [30] "M1_Wildcard"
## [31] "ConfirmedCases"
## [32] "ConfirmedDeaths"
## [33] "StringencyIndex"
## [34] "StringencyIndexForDisplay"
## [35] "StringencyLegacyIndex"
## [36] "StringencyLegacyIndexForDisplay"
## [37] "GovernmentResponseIndex"
## [38] "GovernmentResponseIndexForDisplay"
## [39] "ContainmentHealthIndex"
## [40] "ContainmentHealthIndexForDisplay"
## [41] "EconomicSupportIndex"
## [42] "EconomicSupportIndexForDisplay"
## [43] "COUNTRY"
## [44] "C1_School.closing"
## [45] "C2_Workplace.closing"
## [46] "C3_Cancel.public.events"
## [47] "C4_Restrictions.on.gatherings"
## [48] "C5_Close.public.transport"
## [49] "C6_Stay.at.home.requirements"
## [50] "C7_Restrictions.on.internal.movement"
## [51] "C8_International.travel.controls"
## [52] "E1_Income.support"
## [53] "E2_Debt.contract.relief"
## [54] "E3_Fiscal.measures"
## [55] "E4_International.support"
## [56] "H1_Public.information.campaigns"
## [57] "H2_Testing.policy"
## [58] "H3_Contact.tracing"
## [59] "H4_Emergency.investment.in.healthcare"
## [60] "H5_Investment.in.vaccines"
## [61] "Oxford_Cases"
## [62] "Oxford_Deaths"
myvarsgovernment <- c("COUNTRY", "Date", "C1_School.closing", "C1_Flag", "C2_Workplace.closing", "C2_Flag", "C3_Cancel.public.events", "C3_Flag", "C4_Restrictions.on.gatherings", "C4_Flag", "C5_Close.public.transport", "C5_Flag", "C6_Stay.at.home.requirements", "C6_Flag", "C7_Restrictions.on.internal.movement", "C7_Flag", "C8_International.travel.controls", "E1_Income.support", "E1_Flag", "E2_Debt.contract.relief", "E3_Fiscal.measures", "H1_Public.information.campaigns", "H1_Flag", "H2_Testing.policy", "H3_Contact.tracing", "H4_Emergency.investment.in.healthcare", "H5_Investment.in.vaccines", "M1_Wildcard", "StringencyIndex", "Oxford_Cases", "Oxford_Deaths", "GovernmentResponseIndex", "ContainmentHealthIndex")
Government_Responses <- Government_Responses[myvarsgovernment]
Government_Responses <- Government_Responses[order(Government_Responses$COUNTRY, Government_Responses$Date),]
Temporary_Data_Country <- Temporary_Data_Country[order(Temporary_Data_Country$COUNTRY, Temporary_Data_Country$Date),]
# I then merge our data.
Final_Data_Country <- merge(Temporary_Data_Country, Government_Responses, by = c("COUNTRY", "Date"), all=TRUE)
# Next, I specify a set of lagged government response variables for use in our regression later (one-week, two-week, and three-week lags). First, I filter the data and create a lag function for each week (these functions are also used for generating the lags in our testing data).
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# This chunk of code is quite extensive. In our regressions, we use the "lag" function to generate lags for our key variables, rather than using the generated lagged variables below. I simply include them in order to visualize the dataframe with lags incorporated (as the lag function will simply lag existing variables in analysis; not generate new ones to explore). Using this function also allows us to observe which nations do not have enough observations to generate specified lags.
# One Week
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_School.closing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
## Warning in bind_rows_(x, .id): Vectorizing 'labelled' elements may not preserve
## their attributes
Final_Data_Country$Lagged_School_Closing_One_Week <- as.factor(Final_Data_Country$Lagged_School_Closing_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_School_Closing_General_One_Week <- as.factor(Final_Data_Country$Lagged_School_Closing_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Workplace.closing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_One_Week <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_General_One_Week <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Cancel.public.events", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Events_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_General_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Events_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Restrictions.on.gatherings", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_One_Week <- as.factor(Final_Data_Country$Lagged_Gatherings_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_General_One_Week <- as.factor(Final_Data_Country$Lagged_Gatherings_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Close.public.transport", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Transport_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_General_One_Week <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Stay.at.home.requirements", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_One_Week <- as.factor(Final_Data_Country$Lagged_Lockdown_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_General_One_Week <- as.factor(Final_Data_Country$Lagged_Lockdown_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_One_Week", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_One_Week <- as.factor(Final_Data_Country$Lagged_Internal_Movement_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Flag",slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_General_One_Week <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C8_International.travel.controls", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_International_Travel_One_Week <- as.factor(Final_Data_Country$Lagged_International_Travel_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Income.support", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_One_Week", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_One_Week <- as.factor(Final_Data_Country$Lagged_Income_Support_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Flag",slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_General_One_Week <- as.factor(Final_Data_Country$Lagged_Income_Support_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E2_Debt.contract.relief", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Debt_Relief_One_Week <- as.factor(Final_Data_Country$Lagged_Debt_Relief_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E3_Fiscal.measures", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Public.information.campaigns", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_One_Week <- as.factor(Final_Data_Country$Lagged_Campaign_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Flag", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_General_One_Week <- as.factor(Final_Data_Country$Lagged_Campaign_General_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H2_Testing.policy", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Testing_One_Week <- as.factor(Final_Data_Country$Lagged_Testing_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H3_Contact.tracing", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Tracing_One_Week <- as.factor(Final_Data_Country$Lagged_Tracing_One_Week)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H5_Investment.in.vaccines", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_One_Week", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -7, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_One_Week", keepInvalid
= TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 6 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
# Two Weeks
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_School.closing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_School_Closing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_School_Closing_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Workplace.closing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Cancel.public.events", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Restrictions.on.gatherings", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Close.public.transport", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Stay.at.home.requirements", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_Two_Weeks", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Flag",slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C8_International.travel.controls", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_International_Travel_Two_Weeks <- as.factor(Final_Data_Country$Lagged_International_Travel_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Income.support", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_Two_Weeks", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Flag",slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E2_Debt.contract.relief", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Debt_Relief_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Debt_Relief_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E3_Fiscal.measures", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Public.information.campaigns", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Flag", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_General_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_General_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H2_Testing.policy", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Testing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Testing_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H3_Contact.tracing", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Tracing_Two_Weeks <- as.factor(Final_Data_Country$Lagged_Tracing_Two_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H5_Investment.in.vaccines", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Two_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -14, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_Two_Weeks", keepInvalid
= TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 13 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
# Three Weeks
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_School.closing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_School_Closing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C1_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_School_Closing_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_School_Closing_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_School_Closing_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Workplace.closing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C2_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Workplace_Closing_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Workplace_Closing_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Workplace_Closing_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Cancel.public.events", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C3_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Events_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Events_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Events_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Restrictions.on.gatherings", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C4_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Gatherings_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Gatherings_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Gatherings_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Close.public.transport", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C5_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Public_Transport_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Public_Transport_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Public_Transport_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Stay.at.home.requirements", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C6_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Lockdown_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Lockdown_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Lockdown_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Restrictions.on.internal.movement", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_Three_Weeks", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C7_Flag",slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Internal_Movement_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Internal_Movement_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Internal_Movement_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "C8_International.travel.controls", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_International_Travel_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_International_Travel_Three_Weeks <- as.factor(Final_Data_Country$Lagged_International_Travel_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Income.support", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_Three_Weeks", keepInvalid =
TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E1_Flag",slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Income_Support_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Income_Support_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Income_Support_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E2_Debt.contract.relief", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Debt_Relief_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Debt_Relief_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Debt_Relief_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "E3_Fiscal.measures", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Fiscal_Measures_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Public.information.campaigns", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H1_Flag", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Campaign_General_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Campaign_General_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Campaign_General_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H2_Testing.policy", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Testing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Testing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Testing_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H3_Contact.tracing", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Tracing_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country$Lagged_Tracing_Three_Weeks <- as.factor(Final_Data_Country$Lagged_Tracing_Three_Weeks)
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H4_Emergency.investment.in.healthcare", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "H5_Investment.in.vaccines", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Health_Care_Three_Weeks", keepInvalid = TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country %>%
dplyr::group_by(COUNTRY) %>%
slide(Var = "StringencyIndex", TimeVar = "Date", slideBy = -21, GroupVar = "COUNTRY", NewVar = "Lagged_Stringency_Index_Three_Weeks", keepInvalid
= TRUE, reminder = FALSE)
## Converting to plain data frame from tbl_df.
##
## Warning: the following groups have 20 or fewer observations.
## No valid lag/lead can be created.
## NA will be returned for these observations in the new lag/lead variable.
## They will be returned at the bottom of the data frame.
## American Samoa
## Anguilla
## Antarctica
## Bouvet Island
## British Indian Ocean Territory
## British Virgin Islands
## Cayman Islands
## Christmas Island
## Cocos [Keeling] Islands
## Cook Islands
## Falkland Islands [Islas Malvinas]
## Faroe Islands
## French Guiana
## French Polynesia
## French Southern Territories
## Gaza Strip
## Guadeloupe
## Guernsey
## Heard Island and McDonald Islands
## Isle of Man
## Jersey
## Kiribati
## Macau
## Marshall Islands
## Martinique
## Mayotte
## Micronesia
## Montserrat
## Nauru
## Netherlands Antilles
## New Caledonia
## Niue
## Norfolk Island
## North Korea
## Northern Mariana Islands
## Palau
## Palestinian Territories
## Pitcairn Islands
## Réunion
## Saint Helena
## Saint Pierre and Miquelon
## Samoa
## South Georgia and the South Sandwich Islands
## Svalbard and Jan Mayen
## Tokelau
## Tonga
## Turks and Caicos Islands
## Tuvalu
## U.S. Minor Outlying Islands
## U.S. Virgin Islands
## Wallis and Futuna
## Western Sahara
##
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# I am using the same Google coordinate data from: https://developers.google.com/public-data/docs/canonical/countries_csv. Note that I edited country names to match the data in the CSV itself (I only kept coordinates for nations in our dataframe).
Country_Coordinates <- read.csv("data/Country_Coordinates.csv")
Country_Coordinates$COUNTRY <- Country_Coordinates$Country
colnames(Country_Coordinates)
## [1] "Latitude" "Longitude" "Country" "COUNTRY"
myvarscoords <- c("COUNTRY", "Latitude", "Longitude")
Country_Coordinates <- Country_Coordinates[myvarscoords]
# I subset the file to only include the nations in our final data.
Country_Coordinates <- subset(Country_Coordinates, is.element(Country_Coordinates$COUNTRY, Final_Data_Country$COUNTRY))
# Lastly, I merge the two dataframes.
Final_Data_Country <- merge(Final_Data_Country, Country_Coordinates, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# First, I add the proportion of the national population above 65 from: https://data.worldbank.org/indicator/SP.POP.65UP.TO.ZS.
pop65yo <- read_csv("data/pop65yo.csv")
## Parsed with column specification:
## cols(
## value = col_double(),
## country = col_character()
## )
pop65yo$COUNTRY <- pop65yo$country
pop65yo$prop65 <- pop65yo$value
# Next, I correct the country names.
pop65yo[19, "COUNTRY"] <- "Bahamas"
pop65yo[26, "COUNTRY"] <- "Brunei"
pop65yo[37, "COUNTRY"] <- "Congo (Kinshasa)"
pop65yo[38, "COUNTRY"] <- "Congo (Brazzaville)"
pop65yo[46, "COUNTRY"] <- "Czechia"
pop65yo[53, "COUNTRY"] <- "Egypt"
pop65yo[66, "COUNTRY"] <- "Gambia"
pop65yo[82, "COUNTRY"] <- "Iran"
pop65yo[95, "COUNTRY"] <- "Korea, South"
pop65yo[92, "COUNTRY"] <- "Kyrgyzstan"
pop65yo[97, "COUNTRY"] <- "Laos"
pop65yo[101, "COUNTRY"] <- "Saint Lucia"
pop65yo[116, "COUNTRY"] <- "Burma"
pop65yo[148, "COUNTRY"] <- "Russia"
pop65yo[162, "COUNTRY"] <- "Slovakia"
pop65yo[167, "COUNTRY"] <- "Syria"
pop65yo[182, "COUNTRY"] <- "US"
pop65yo[184, "COUNTRY"] <- "Saint Vincent and the Grenadines"
pop65yo[185, "COUNTRY"] <- "Venezuela"
pop65yo[186, "COUNTRY"] <- "Virgin Islands"
pop65yo[190, "COUNTRY"] <- "Yemen"
pop65yo[5, "COUNTRY"] <- "United Arab Emirates"
pop65yo[62, "COUNTRY"] <- "United Kingdom"
pop65yo[132, "COUNTRY"] <- "New Zealand"
pop65yo[150, "COUNTRY"] <- "Saudi Arabia"
pop65yo[191, "COUNTRY"] <- "South Africa"
pop65yo <- subset(pop65yo, is.element(pop65yo$COUNTRY, Final_Data_Country$COUNTRY))
# I only keep the columns I care about.
colnames(pop65yo)
## [1] "value" "country" "COUNTRY" "prop65"
myvarspop65yo <- c("prop65", "COUNTRY")
pop65yo <- pop65yo[myvarspop65yo]
pop65yo <- pop65yo[order(pop65yo$COUNTRY, pop65yo$prop65),]
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- merge(Final_Data_Country, pop65yo, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Now, I add another world development indicator for the proportion of the population which is urban: https://data.worldbank.org/indicator/SP.URB.TOTL.in.zs.
urbanpp <- read_csv("data/urbanpp.csv")
## Parsed with column specification:
## cols(
## propurban = col_double(),
## COUNTRY = col_character()
## )
# Next, I correct the country names.
urbanpp[21, "COUNTRY"] <- "Bahamas"
urbanpp[29, "COUNTRY"] <- "Brunei"
urbanpp[40, "COUNTRY"] <- "Congo (Kinshasa)"
urbanpp[41, "COUNTRY"] <- "Congo (Brazzaville)"
urbanpp[50, "COUNTRY"] <- "Czechia"
urbanpp[58, "COUNTRY"] <- "Egypt"
urbanpp[73, "COUNTRY"] <- "Gambia"
urbanpp[91, "COUNTRY"] <- "Iran"
urbanpp[105, "COUNTRY"] <- "Korea, South"
urbanpp[101, "COUNTRY"] <- "Kyrgyzstan"
urbanpp[107, "COUNTRY"] <- "Laos"
urbanpp[111, "COUNTRY"] <- "Saint Lucia"
urbanpp[129, "COUNTRY"] <- "Burma"
urbanpp[164, "COUNTRY"] <- "Russia"
urbanpp[179, "COUNTRY"] <- "Slovakia"
urbanpp[185, "COUNTRY"] <- "Syria"
urbanpp[202, "COUNTRY"] <- "US"
urbanpp[204, "COUNTRY"] <- "Saint Vincent and the Grenadines"
urbanpp[205, "COUNTRY"] <- "Venezuela"
urbanpp[206, "COUNTRY"] <- "Virgin Islands"
urbanpp[211, "COUNTRY"] <- "Yemen"
urbanpp[6, "COUNTRY"] <- "United Arab Emirates"
urbanpp[68, "COUNTRY"] <- "United Kingdom"
urbanpp[147, "COUNTRY"] <- "New Zealand"
urbanpp[166, "COUNTRY"] <- "Saudi Arabia"
urbanpp[212, "COUNTRY"] <- "South Africa"
urbanpp <- subset(urbanpp, is.element(urbanpp$COUNTRY, Final_Data_Country$COUNTRY))
# I only keep the columns I care about.
colnames(urbanpp)
## [1] "propurban" "COUNTRY"
myvarsurbanpp <- c("propurban", "COUNTRY")
urbanpp <- urbanpp[myvarsurbanpp]
Final_Data_Country <- merge(Final_Data_Country, urbanpp, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Now, I add the population density indicator. Note the latest year available for this data is 2018.
popdensity <- read.csv("data/popdensity.csv")
popdensity$COUNTRY <- popdensity$Country.Name
# Next, I correct the country names.
popdensity[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
popdensity[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
popdensity[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
popdensity[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
popdensity[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
popdensity[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
popdensity[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
popdensity[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
popdensity[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
popdensity[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
popdensity[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
popdensity[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
popdensity[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
popdensity[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
popdensity[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
popdensity[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
popdensity[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
popdensity[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
popdensity[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
popdensity[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
popdensity[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
popdensity[7, "COUNTRY"] <- "United Arab Emirates"
popdensity[80, "COUNTRY"] <- "United Kingdom"
popdensity[179, "COUNTRY"] <- "New Zealand"
popdensity[204, "COUNTRY"] <- "Saudi Arabia"
popdensity[262, "COUNTRY"] <- "South Africa"
popdensity <- subset(popdensity, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(popdensity)
## [1] "Country.Name" "popdensity" "COUNTRY"
myvarspopdensity <- c("popdensity", "COUNTRY")
popdensity <- popdensity[myvarspopdensity]
popdensity <- popdensity[order(popdensity$COUNTRY, popdensity$popdensity),]
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- merge(Final_Data_Country, popdensity, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Here, I integrate the Apple Mobility data.
mobility <- read.csv("data/applemobilitytrends-2020-06-13.csv")
# First, we convert from wide to long format.
mobility <- pivot_longer(mobility, cols = starts_with("X"), names_to = "Dates")
# Next, we reformat the dates.
mobility$Dates<-sub(".", "", mobility$Dates)
mobility$Date <- mdy(mobility$Dates, quiet = FALSE, tz = NULL, locale = Sys.getlocale("LC_TIME"),
truncated = 0)
# I only keep the variables we care about. I also filter for only countries (we can re-add cities at a later period).
mobility <- mobility %>%
dplyr:: filter(mobility$geo_type == "country/region")
colnames(mobility)
## [1] "geo_type" "region" "transportation_type"
## [4] "alternative_name" "sub.region" "country"
## [7] "Dates" "value" "Date"
myvarsmobility <- c("region", "transportation_type", "Date", "value")
mobility <- mobility[myvarsmobility]
mobility$COUNTRY <- mobility$region
# Now, I re-convert from long to wide format.
mobility <- pivot_wider(mobility, id_cols = c("COUNTRY", "Date", "transportation_type"), names_from = "transportation_type", values_from = c("value"))
mobility <- subset(mobility, is.element(mobility$COUNTRY, Final_Data_Country$COUNTRY))
Final_Data_Country <- merge(Final_Data_Country, mobility, by = c("COUNTRY", "Date"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# First, I add information on the number of tourist arrivals (2018 is l.y.a.). Run this in the console
arrivals <- read.csv("data/arrivals.csv")
arrivals$COUNTRY <- arrivals$Country.Name
# Next, I correct the country names.
arrivals[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
arrivals[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
arrivals[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
arrivals[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
arrivals[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
arrivals[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
arrivals[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
arrivals[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
arrivals[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
arrivals[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
arrivals[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
arrivals[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
arrivals[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
arrivals[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
arrivals[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
arrivals[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
arrivals[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
arrivals[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
arrivals[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
arrivals[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
arrivals[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
arrivals[7, "COUNTRY"] <- "United Arab Emirates"
arrivals[80, "COUNTRY"] <- "United Kingdom"
arrivals[179, "COUNTRY"] <- "New Zealand"
arrivals[204, "COUNTRY"] <- "Saudi Arabia"
arrivals[262, "COUNTRY"] <- "South Africa"
arrivals <- subset(arrivals, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(arrivals)
## [1] "Country.Name" "Country.Code" "arrivals" "COUNTRY"
myvarsarrivals <- c("arrivals", "COUNTRY")
arrivals <- arrivals[myvarsarrivals]
Final_Data_Country <- merge(Final_Data_Country, arrivals, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Next, I add information on tourism departures (2018 is l.y.a.).
departures <- read.csv("data/departures.csv")
departures$COUNTRY <- departures$Country.Name
# Next, I correct the country names.
departures[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
departures[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
departures[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
departures[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
departures[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
departures[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
departures[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
departures[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
departures[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
departures[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
departures[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
departures[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
departures[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
departures[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
departures[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
departures[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
departures[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
departures[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
departures[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
departures[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
departures[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
departures[7, "COUNTRY"] <- "United Arab Emirates"
departures[80, "COUNTRY"] <- "United Kingdom"
departures[179, "COUNTRY"] <- "New Zealand"
departures[204, "COUNTRY"] <- "Saudi Arabia"
departures[262, "COUNTRY"] <- "South Africa"
departures <- subset(departures, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(departures)
## [1] "Country.Name" "departures" "COUNTRY"
myvarsdepartures <- c("departures", "COUNTRY")
departures <- departures[myvarsdepartures]
Final_Data_Country <- merge(Final_Data_Country, departures, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# First, I add the percentage of vulnerable employment by nation from: https://data.worldbank.org/indicator/SL.EMP.VULN.ZS?view=chart
vulnerable_employment <- read.csv("data/vulnerable_employment.csv")
# Next, I correct the country names.
vulnerable_employment[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
vulnerable_employment[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
vulnerable_employment[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
vulnerable_employment[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
vulnerable_employment[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
vulnerable_employment[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
vulnerable_employment[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
vulnerable_employment[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
vulnerable_employment[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
vulnerable_employment[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
vulnerable_employment[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
vulnerable_employment[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
vulnerable_employment[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
vulnerable_employment[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
vulnerable_employment[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
vulnerable_employment[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
vulnerable_employment[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
vulnerable_employment[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
vulnerable_employment[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
vulnerable_employment[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
vulnerable_employment[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
vulnerable_employment[7, "COUNTRY"] <- "United Arab Emirates"
vulnerable_employment[80, "COUNTRY"] <- "United Kingdom"
vulnerable_employment[179, "COUNTRY"] <- "New Zealand"
vulnerable_employment[204, "COUNTRY"] <- "Saudi Arabia"
vulnerable_employment[262, "COUNTRY"] <- "South Africa"
vulnerable_employment <- subset(vulnerable_employment, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(vulnerable_employment)
## [1] "COUNTRY" "vul_emp"
myvarsvulnerable_employment <- c("vul_emp", "COUNTRY")
vulnerable_employment <- vulnerable_employment[myvarsvulnerable_employment]
Final_Data_Country <- merge(Final_Data_Country, vulnerable_employment, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Next, I add GNI per capita from: https://data.worldbank.org/indicator/NY.GNP.PCAP.CD?view=chart.
GNI <- read.csv("data/GNI.csv")
# Next, I correct the country names.
GNI[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
GNI[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
GNI[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
GNI[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
GNI[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
GNI[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
GNI[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
GNI[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
GNI[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
GNI[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
GNI[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
GNI[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
GNI[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
GNI[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
GNI[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
GNI[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
GNI[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
GNI[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
GNI[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
GNI[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
GNI[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
GNI[7, "COUNTRY"] <- "United Arab Emirates"
GNI[80, "COUNTRY"] <- "United Kingdom"
GNI[179, "COUNTRY"] <- "New Zealand"
GNI[204, "COUNTRY"] <- "Saudi Arabia"
GNI[262, "COUNTRY"] <- "South Africa"
GNI <- subset(GNI, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(GNI)
## [1] "COUNTRY" "GNI"
myvarsGNI <- c("GNI", "COUNTRY")
GNI <- GNI[myvarsGNI]
Final_Data_Country <- merge(Final_Data_Country, GNI, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Next, I control for current health expenditures (l.y.a. is 2017): https://data.worldbank.org/indicator/SH.XPD.CHEX.PC.CD?view=chart.
health_pc <- read.csv("data/health_pc.csv")
# Next, I correct the country names.
health_pc[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
health_pc[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
health_pc[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
health_pc[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
health_pc[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
health_pc[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
health_pc[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
health_pc[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
health_pc[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
health_pc[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
health_pc[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
health_pc[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
health_pc[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
health_pc[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
health_pc[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
health_pc[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
health_pc[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
health_pc[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
health_pc[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
health_pc[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
health_pc[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
health_pc[7, "COUNTRY"] <- "United Arab Emirates"
health_pc[80, "COUNTRY"] <- "United Kingdom"
health_pc[179, "COUNTRY"] <- "New Zealand"
health_pc[204, "COUNTRY"] <- "Saudi Arabia"
health_pc[262, "COUNTRY"] <- "South Africa"
health_pc <- subset(health_pc, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(health_pc)
## [1] "COUNTRY" "health_exp"
myvarshealth_pc <- c("health_exp", "COUNTRY")
health_pc <- health_pc[myvarshealth_pc]
Final_Data_Country <- merge(Final_Data_Country, health_pc, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# I also add data on air pollution by nation from: https://data.worldbank.org/indicator/EN.ATM.PM25.MC.M3?view=chart.
pollution <- read.csv("data/pollution.csv")
# Next, I correct the country names.
pollution[22, "COUNTRY"] <- "Bahamas"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Bahamas"): invalid factor level,
## NA generated
pollution[30, "COUNTRY"] <- "Brunei"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Brunei"): invalid factor level,
## NA generated
pollution[42, "COUNTRY"] <- "Congo (Kinshasa)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Kinshasa)"): invalid
## factor level, NA generated
pollution[43, "COUNTRY"] <- "Congo (Brazzaville)"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Congo (Brazzaville)"): invalid
## factor level, NA generated
pollution[53, "COUNTRY"] <- "Czechia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Czechia"): invalid factor level,
## NA generated
pollution[66, "COUNTRY"] <- "Egypt"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Egypt"): invalid factor level,
## NA generated
pollution[85, "COUNTRY"] <- "Gambia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Gambia"): invalid factor level,
## NA generated
pollution[111, "COUNTRY"] <- "Iran"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Iran"): invalid factor level, NA
## generated
pollution[125, "COUNTRY"] <- "Korea, South"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Korea, South"): invalid factor
## level, NA generated
pollution[121, "COUNTRY"] <- "Kyrgyzstan"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Kyrgyzstan"): invalid factor
## level, NA generated
pollution[128, "COUNTRY"] <- "Laos"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Laos"): invalid factor level, NA
## generated
pollution[132, "COUNTRY"] <- "Saint Lucia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Lucia"): invalid factor
## level, NA generated
pollution[159, "COUNTRY"] <- "Burma"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Burma"): invalid factor level,
## NA generated
pollution[201, "COUNTRY"] <- "Russia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Russia"): invalid factor level,
## NA generated
pollution[220, "COUNTRY"] <- "Slovakia"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Slovakia"): invalid factor
## level, NA generated
pollution[226, "COUNTRY"] <- "Syria"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Syria"): invalid factor level,
## NA generated
pollution[250, "COUNTRY"] <- "US"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "US"): invalid factor level, NA
## generated
pollution[252, "COUNTRY"] <- "Saint Vincent and the Grenadines"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Saint Vincent and the
## Grenadines"): invalid factor level, NA generated
pollution[253, "COUNTRY"] <- "Venezuela"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Venezuela"): invalid factor
## level, NA generated
pollution[255, "COUNTRY"] <- "Virgin Islands"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Virgin Islands"): invalid factor
## level, NA generated
pollution[261, "COUNTRY"] <- "Yemen"
## Warning in `[<-.factor`(`*tmp*`, iseq, value = "Yemen"): invalid factor level,
## NA generated
pollution[7, "COUNTRY"] <- "United Arab Emirates"
pollution[80, "COUNTRY"] <- "United Kingdom"
pollution[179, "COUNTRY"] <- "New Zealand"
pollution[204, "COUNTRY"] <- "Saudi Arabia"
pollution[262, "COUNTRY"] <- "South Africa"
pollution <- subset(pollution, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(pollution)
## [1] "COUNTRY" "pollution"
myvarspollution <- c("pollution", "COUNTRY")
pollution <- pollution[myvarspollution]
Final_Data_Country <- merge(Final_Data_Country, pollution, by = c("COUNTRY"), all=TRUE)
# Here, I add democracy indicators from Freedom House: https://freedomhouse.org/countries/freedom-world/scores and the Economist: https://www.eiu.com/topic/democracy-index?&zid=democracyindex2019&utm_source=blog&utm_medium=blog&utm_name=democracyindex2019&utm_term=democracyindex2019&utm_content=top_link.
democracy <- read.csv("data/democracy.csv")
democracy <- subset(democracy, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(democracy)
## [1] "COUNTRY" "EUI_democracy" "freedom_house"
myvarsdemocracy <- c("EUI_democracy", "freedom_house", "COUNTRY")
democracy <- democracy[myvarsdemocracy]
Final_Data_Country <- merge(Final_Data_Country, democracy, by = c("COUNTRY"), all=TRUE)
# Here, I add data on the number of cellular subscriptions by nation from: https://data.worldbank.org/indicator/IT.CEL.SETS.P2?start=196.
cellular <- read.csv("data/cellular.csv")
cellular <- subset(cellular, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(cellular)
## [1] "COUNTRY" "cellular_sub"
myvarscellular <- c("cellular_sub", "COUNTRY")
cellular <- cellular[myvarscellular]
Final_Data_Country <- merge(Final_Data_Country, cellular, by = c("COUNTRY"), all=TRUE)
# Now, I add military data from: https://correlatesofwar.org/data-sets/national-material-capabilities. Note the l.y.a. is 2012.
military <- read.csv("data/military.csv")
military <- subset(military, COUNTRY %in% Final_Data_Country$COUNTRY)
# I only keep the columns I care about.
colnames(military)
## [1] "COUNTRY" "milex" "milper" "irst" "pec" "cinc"
myvarsmilitary <- c("milex", "milper", "irst", "pec", "cinc", "COUNTRY")
military <- military[myvarsmilitary]
Final_Data_Country <- merge(Final_Data_Country, military, by = c("COUNTRY"), all=TRUE)
# I now add data on diseases (aggregated from 2015-2018) from the WHO ICD10: https://www.who.int/classifications/icd/icdonlineversions/en/.
diseases <- read.csv("data/ICD_Deaths_Final.csv")
diseases <- subset(diseases, COUNTRY %in% Final_Data_Country$COUNTRY)
Final_Data_Country <- merge(Final_Data_Country, diseases, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
# Labelling our variables.
label(Final_Data_Country$C1_School.closing) <- "Record Closings of Schools and Universities (0 - No Measures; 1 - Recommended Closing; 2 - Required Closing (some levels); 3 - Required Closing (all levels))"
label(Final_Data_Country$C1_Flag) <- "Targeted vs. General School Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C2_Workplace.closing) <- "Record Closings of Workplaces (0 - No Measures; 1 - Recommended Closing; 2 - Required Closing (some sectors); 3 - Required Closing (all but essential workers))"
label(Final_Data_Country$C2_Flag) <- "Targeted vs. General Workplace Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C3_Cancel.public.events) <- "Record Closings of Public Events (0 - No Measures; 1 - Recommended Cancelling; 2 - Required Cancelling)"
label(Final_Data_Country$C3_Flag) <- "Targeted vs. General Public Event Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C4_Restrictions.on.gatherings) <- "Restrictions on Public Gatherings (0 - No Measures; 1 - Restrictions on Gatherings of 1000 + people; 2 - Restrictions on Gatherings of 100-1000 people; 3 - Restrictions on Gatherings of 10-100 people; 4 - Restrictions on Gatherings of < 10 people)"
label(Final_Data_Country$C4_Flag) <- "Targeted vs. General Public Gathering Restrictions (0 - Targeted; 1 - General)"
label(Final_Data_Country$C5_Close.public.transport) <- "Record Closings of Public Transport (0 - No Measures; 1 - Recommended Closing (means of transport reduced); 2 - Required Closing (prohibit public transit operations))"
label(Final_Data_Country$C5_Flag) <- "Targeted vs. General Public Transport Closings (0 - Targeted; 1 - General)"
label(Final_Data_Country$C6_Stay.at.home.requirements) <- "Lockdown Measures (0 - No Measures; 1 - Recommendeded; 2 - Lax Lockdown (allows for exercise, shopping, and essential trips); 3 - Strict Lockdown)"
label(Final_Data_Country$C6_Flag) <- "Targeted vs. General Lockdown (0 - Targeted; 1 - General)"
label(Final_Data_Country$C7_Restrictions.on.internal.movement) <- "Record Restrictions on Internal Movement (0 - No Measures; 1 - Recommend Movement Restriction (reduce means of transport); 2 - Restrict Movement (prohibit internal movement))"
label(Final_Data_Country$C7_Flag) <- "Targeted vs. General Restrictions on Internal Movement (0 - Targeted; 1 - General)"
label(Final_Data_Country$C8_International.travel.controls) <- "Record Restrictions on International Travel (0 - No Measures; 1 - Screening; 2 - Quarantine on High-Risk Regions; 3 - Ban on High-Risk Regions)"
label(Final_Data_Country$E1_Income.support) <- "Income Support (0 - None; 1 - Govt. Funds < 50% of Lost Salary; 2 - Govt. Funds > 50% of Lost Salary)"
label(Final_Data_Country$E1_Flag) <- "Targeted vs. General Income Support"
label(Final_Data_Country$E2_Debt.contract.relief) <- "Debt Relief (0 - None; 1 - Narrow Relief (specific kinds of contracts); 2 - Broad Relief)"
label(Final_Data_Country$E3_Fiscal.measures) <- "Value of Fiscal Stimuli, Including Spending or Tax Cuts (in USD)"
label(Final_Data_Country$H1_Public.information.campaigns) <- "Record Presence of Public Information Campaigns (0 - No; 1 - Public Officials Urge Caution; 2 - Coordinated Public Information Campaign)"
label(Final_Data_Country$H1_Flag) <- "Targeted vs. General Public Information Campaigns (0 - Targeted; 1 - General)"
label(Final_Data_Country$H2_Testing.policy) <- "Who Can Get Tested (0 - No Testing Policy; 1 - Testing for those with a) Symptoms AND b) Meet Given Criteria (key workers; admitted to hospital; came into contact with known patient; returned from overseas); 2 - Testing of anyone showing symptoms; 3 - Open Public Testing ('drive-through testing')"
label(Final_Data_Country$H3_Contact.tracing) <- "Contact Tracing (0 - No Contact Tracing; 1 - Limited Contact Tracing; 2 - Comprehensive Contact Tracing)"
label(Final_Data_Country$H4_Emergency.investment.in.healthcare) <- "Value of New Short-Term Spending on Health (in USD)"
label(Final_Data_Country$H5_Investment.in.vaccines) <- "Value of Investment (in USD)"
label(Final_Data_Country$StringencyIndex) <- "Index for Government Stringency (calculated using C1-S8 + H1)"
label(Final_Data_Country$Oxford_Cases) <- "Cumulative Sum of Confirmed Cases by Country (Oxford)"
label(Final_Data_Country$Oxford_Deaths) <- "Cumulative Sum of Deaths by Country (Oxford)"
label(Final_Data_Country$prop65) <- "Proportion of the Population Above Age 65"
label(Final_Data_Country$propurban) <- "Proportion of Population in Urban Areas"
label(Final_Data_Country$popdensity) <- "People per 100 Sq. Km. of Land Area"
label(Final_Data_Country$arrivals) <- "Number of Tourist Arrivals"
label(Final_Data_Country$departures) <- "Number of Tourist Departures"
label(Final_Data_Country$vul_emp) <- "Percentage of Population in Vulnerable Employment"
label(Final_Data_Country$GNI) <- "GNI per capita (current USD - Atlas Method) "
label(Final_Data_Country$health_exp) <- "Health Expenditure Per Capita"
label(Final_Data_Country$pollution) <- "PM2.5 Air Pollution (micrograms per cubic meter)"
label(Final_Data_Country$EUI_democracy) <- "Democracy scores from the Economist Intelligence Unit"
label(Final_Data_Country$freedom_house) <- "Democracy scores from Freedom House"
label(Final_Data_Country$milex) <- "Military expenditures (thousands of GBP)"
label(Final_Data_Country$milper) <- "Military personnel (thousands of soldiers)"
label(Final_Data_Country$irst) <- "Iron and steel production (thousands of ton)"
label(Final_Data_Country$pec) <- "Primary energy consumption (thousands of coal-ton equivalents)"
label(Final_Data_Country$cinc) <- "Composite Index of National Capability score"
# I restrict the analysis to Eurozone countries, from a list pulled from here: https://europa.eu/european-union/about-eu/countries_en.
Final_Data_Country <- subset(Final_Data_Country, (COUNTRY == "Austria" | COUNTRY == "Belgium" | COUNTRY == "Cyprus" | COUNTRY == "Estonia" | COUNTRY == "Finland" | COUNTRY == "France" | COUNTRY == "Germany" | COUNTRY == "Greece" | COUNTRY == "Ireland" | COUNTRY == "Italy" | COUNTRY == "Latvia" | COUNTRY == "Lithuania" | COUNTRY == "Luxembourg" | COUNTRY == "Malta" | COUNTRY == "Netherlands" | COUNTRY == "Portugal" | COUNTRY == "Slovakia" | COUNTRY == "Slovenia" | COUNTRY == "Spain"))
# I now add data on government indicators from: https://info.worldbank.org/governance/wgi/Home/Documents.
govt <- read.csv("data/govt.csv")
govt <- subset(govt, COUNTRY %in% Final_Data_Country$COUNTRY)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Final_Data_Country <- merge(Final_Data_Country, govt, by = c("COUNTRY"), all=TRUE)
Final_Data_Country <- Final_Data_Country[order(Final_Data_Country$COUNTRY, Final_Data_Country$Date),]
Oxford_V1 <- Final_Data_Country
library(writexl)
library(readxl)
# I added nine additional columns for fiscal and monetary interventions (which had to be manually aggregated from different online datasets and hard coded). This new version of the dataset is imported below.
remove(Oxford_V1)
Oxford_V1 <- read_excel("data/Oxford_V1.xlsx")
library(data.table)
library(dplyr)
library(writexl)
library(readxl)
# To calculate deaths per million, news sources divide the number of cumulative (total) deaths by the population size, measured in millions. Luxembourg and Malta have less than a million inhabitants, and thus I do not calculate deaths per million for these nations. Data was pulled from: https://www.statista.com/statistics/1104709/coronavirus-deaths-worldwide-per-million-inhabitants/.
Mill_Pop <- read_excel("data/Mill_Pop.xlsx")
Oxford_V1 <- merge(Oxford_V1, Mill_Pop, by = c("COUNTRY"), all=TRUE)
Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]
Oxford_V1$New_Deaths_Per_Million = (Oxford_V1$New_Total_Deceased_Country / Oxford_V1$`Population (Millions)`)
Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]
Oxford_V1$Total_Deaths_Per_Million = (Oxford_V1$Total_Deceased_Country / Oxford_V1$`Population (Millions)`)
# Importing libraries.
library(lubridate)
library(zoo)
library(quantmod)
library(fBasics)
library(tseries)
library(sandwich)
library(lmtest)
library(lattice)
library(xtable)
##
## Attaching package: 'xtable'
## The following objects are masked from 'package:Hmisc':
##
## label, label<-
## The following object is masked from 'package:timeSeries':
##
## align
## The following object is masked from 'package:timeDate':
##
## align
## The following objects are masked from 'package:summarytools':
##
## label, label<-
library(vars)
library(plyr)
## ------------------------------------------------------------------------------
## You have loaded plyr after dplyr - this is likely to cause problems.
## If you need functions from both plyr and dplyr, please load plyr first, then dplyr:
## library(plyr); library(dplyr)
## ------------------------------------------------------------------------------
##
## Attaching package: 'plyr'
## The following objects are masked from 'package:Hmisc':
##
## is.discrete, summarize
## The following objects are masked from 'package:plotly':
##
## arrange, mutate, rename, summarise
## The following objects are masked from 'package:reshape':
##
## rename, round_any
## The following objects are masked from 'package:dplyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize
## The following object is masked from 'package:purrr':
##
## compact
library(gridExtra)
library(corrplot)
library(ggplot2)
library(reshape2)
##
## Attaching package: 'reshape2'
## The following objects are masked from 'package:data.table':
##
## dcast, melt
## The following objects are masked from 'package:reshape':
##
## colsplit, melt, recast
## The following object is masked from 'package:tidyr':
##
## smiths
library(data.table)
library(rvest)
## Loading required package: xml2
##
## Attaching package: 'xml2'
## The following object is masked from 'package:rlang':
##
## as_list
##
## Attaching package: 'rvest'
## The following object is masked from 'package:Hmisc':
##
## html
## The following object is masked from 'package:purrr':
##
## pluck
## The following object is masked from 'package:readr':
##
## guess_encoding
library(foreign)
library(dplyr)
library(plm)
library(stringr)
library(stargazer)
library(survival)
library(ggfortify)
library(plotly)
library(sf)
library(readr)
library(mapview)
library(ggplot2)
library(tidyverse)
library(reshape)
library(rgdal)
library(lubridate)
library(plotly)
library(patchwork)
library(ggforce)
library(gridExtra)
library(htmltools)
library(data.table)
library(webshot)
library(coronavirus)
library(runner)
library(zoo)
library(DataCombine)
library(fastDummies)
library(car)
library(heatmaply)
library(htmlwidgets)
library(summarytools)
library(glmnet)
library(caret)
library(mlbench)
library(psych)
library(plm)
library(lmtest)
library(quantmod)
library(leaflet)
library(corrplot)
library(fBasics)
library(stargazer)
library(tseries)
library(vars)
library(dplyr)
library(haven)
# Remove factor variables for government responses.
Oxford_V1<-Oxford_V1 %>% dplyr::select(-contains("Flag"))
Oxford_V1<-Oxford_V1 %>% dplyr::select(-contains("Lagged"))
Oxford_V1$latitude <- NULL
Oxford_V1$longitude <- NULL
Days_Since_100_Deceased <- Oxford_V1 %>%
dplyr:: filter(Total_Deceased_Country >= 100)
Days_Since_100_Deceased <- Days_Since_100_Deceased %>%
dplyr::group_by(COUNTRY) %>%
dplyr::mutate(Days = row_number(COUNTRY))
Plot_10 <- plot_ly(Days_Since_100_Deceased, x=~Days, y=~Total_Deceased_Country) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Days Since 100 Deaths - Eurozone")
Plot_10
## Warning: plotly.js only supports 6 different linetypes
# Next, I construct a graph illustrating the seven-day rolling average of new deaths, new cases, and the mortality rate per capita. This is a version of the fourth Bloomberg plot from the above link. You will need to slide to the right (to March 2020) to see variation in these plots (or simply check the output folder).
## Please note that Hopkins revised their estimates of deaths in Spain downwards on May 27th. We do not include dates for which the cumulative sum of deaths decreases (as this is not intuitive), and hence there are some gaps in the visualizations.
Oxford_V1 <- Oxford_V1[order(Oxford_V1$COUNTRY, Oxford_V1$Date),]
Plot_13 <- plot_ly(Oxford_V1, x=~Date, y=~rolling_average_confirmed) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="Rolling Average of Confirmed Cases")
Plot_13
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_14 <- plot_ly(Oxford_V1, x=~Date, y=~rolling_average_deceased) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Rolling Average of Deaths")
Plot_14
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_15 <- plot_ly(Oxford_V1, x=~Date, y=~total_rolling_average_mortality) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="Total Rolling Average of Mortality Rate per Capita")
Plot_15
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_16 <- plot_ly(Oxford_V1, x=~Date, y=~new_rolling_average_mortality) %>% add_lines(linetype = ~COUNTRY) %>% layout(title="New Rolling Average of Mortality Rate per Capita")
Plot_16
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
# Here, I plot the global confirmed cases over our time period.
exponential <- function(x) exp(x)
exponential_function <- ggplot(data = data.frame(x=c(0,10)), mapping=aes(x=x)) + stat_function(fun = exponential)
exponential_function
Confirmed <- ggplot(data = World_Data, aes(x = Date, y = Global_Confirmed_Cases)) + geom_bar(stat = "identity", fill = "red") +
labs(title = "Global Confirmed Cases - COVID19",
subtitle = "January 22nd, 2020 - June 15th, 2020",
x = "Date", y = "Confirmed Cases")
Plot_17 <- ggplotly(Confirmed)
Plot_17
# Now, I plot the global deaths over our time period.
Deaths <- ggplot(data = World_Data, aes(x = Date, y = Global_Deceased)) +
geom_bar(stat = "identity", fill = "darkred") +
labs(title = "Global Deaths - COVID19",
subtitle = "January 22nd, 2020 - June 15th, 2020",
x = "Date", y = "Deaths")
Plot_18 <- ggplotly(Deaths)
Plot_18
# Now, I plot the change in the global death rate across the time period.
Death_Rate <- ggplot(World_Data, aes(x=Date)) +
geom_line(aes(y=Death_Rate, colour='Daily')) +
xlab('') + ylab('Death Rate (%)') + labs(title='Change in Death Rate (%)') +
theme(legend.position='bottom', legend.title=element_blank(),
legend.text=element_text(size=8),
legend.key.size=unit(0.5, 'cm'),
axis.text.x=element_text(angle=45, hjust=1))
Plot_21 <- ggplotly(Death_Rate)
Plot_21
# Now, I extend this analysis to generate the number of confirmed cases and deaths by country.
Plot_23 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Cases_Country) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Confirmed Cases Across Countries")
Plot_23
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_24 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Deceased_Country) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Deaths Across Countries")
Plot_24
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_25 <- plot_ly(Oxford_V1, x=~Date, y=~Total_Mortality_Rate_Per_Capita) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Total Mortality Rate Across Countries")
Plot_25
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_26 <- plot_ly(Oxford_V1, x=~Date, y=~New_Mortality_Rate_Per_Capita) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="New Mortality Rate Across Countries")
Plot_26
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
# Here, I filter by first deaths per country.
First_Death <- Oxford_V1 %>%
dplyr::group_by(COUNTRY) %>%
dplyr::filter(Total_Deceased_Country > 0)
# Now, I calculate the week-by-week growth rate in the rolling average of the mortality rate. This is equivalent to the log[total_total_rolling_average_mortality_(t) – total_total_rolling_average_mortality_(t-7)]. First, I create a variable for weeks by country. This tells us in what week of the year each nation had their first death.
First_Death$week_num = lubridate::week(ymd(First_Death$Date))
# Next, I generate week-over-week mortality growth rates. Should be (current week - previous week)/previous week. I use two distinct formulas for this calculation.
First_Death <- First_Death %>%
dplyr::group_by(COUNTRY) %>%
dplyr::mutate(total_mortality_growth = log((total_rolling_average_mortality/Lag(total_rolling_average_mortality,7))))
First_Death <- First_Death %>%
dplyr::group_by(COUNTRY) %>%
dplyr::mutate(total_mortality_growth_b <- (total_rolling_average_mortality-Lag(total_rolling_average_mortality,7))/Lag(total_rolling_average_mortality,7))
First_Death$total_mortality_growth_b <- log(First_Death$`... <- NULL`,10)
## Warning: NaNs produced
First_Death <- First_Death %>%
dplyr::group_by(COUNTRY) %>%
dplyr::mutate(new_mortality_growth <- log((new_rolling_average_mortality/Lag(new_rolling_average_mortality,7))))
First_Death$new_mortality_growth <- First_Death$`... <- NULL`
First_Death <- First_Death %>%
dplyr::group_by(COUNTRY) %>%
dplyr::mutate(new_mortality_growth_b <- (new_rolling_average_mortality-Lag(new_rolling_average_mortality,7))/Lag(new_rolling_average_mortality,7))
First_Death$new_mortality_growth_b <- log(First_Death$`... <- NULL`,10)
## Warning: NaNs produced
# Please see the First Death dataset in the data folder.
# The following code allows us to visualize the rolling average of the mortality rate by country.
Plot_27A <- plot_ly(First_Death, x=~Date, y=~total_rolling_average_mortality) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Total Rolling Average of Mortality Rate Over Time - COVID19")
Plot_27A
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_28 <- Plot_27A %>% layout(yaxis = list(type = "log"))
Plot_28
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_27B <- plot_ly(First_Death, x=~Date, y=~new_rolling_average_mortality) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="New Rolling Average of Mortality Rate Over Time - COVID19")
Plot_27B
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
# Here, I add a facet wrap for each nation in our sample.
Plot_28B <- ggplot(data = First_Death, aes(Date, log(total_rolling_average_mortality))) + geom_line(size=.7) + facet_wrap(~COUNTRY, switch="x", ncol = 7) + theme_bw() + theme(axis.title.y=element_blank(),
axis.text.y=element_blank(),
axis.text.x=element_blank(),
axis.ticks.x=element_blank(),
axis.title.x = element_blank(),
strip.background = element_rect(color="white", fill="white"))
## Warning: 'switch' is deprecated.
## Use 'strip.position' instead.
## See help("Deprecated")
Plot_28B
Plot_28C <- ggplot(data = First_Death, aes(x = Date, y = new_rolling_average_mortality, group = COUNTRY)) + geom_line() + theme_bw() + theme(legend.title = element_blank(), axis.text.y=element_blank(), axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Rolling Average New Mortality")
Plot_28C
library(gghighlight)
Plot_28D <- ggplot(data = First_Death, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D
First_Death_High <- First_Death %>%
dplyr::filter(COUNTRY == "Belgium" | COUNTRY == "Spain" | COUNTRY == "Italy" | COUNTRY == "France" | COUNTRY == "Netherlands" | COUNTRY == "Ireland")
Plot_28D.1 <- ggplot(data = First_Death_High, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.1
First_Death_Medium <- First_Death %>%
dplyr::filter(COUNTRY == "Luxembourg" | COUNTRY == "Portugal" | COUNTRY == "Germany" | COUNTRY == "Austria" | COUNTRY == "Finland")
Plot_28D.2 <- ggplot(data = First_Death_Medium, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.2
First_Death_Low <- First_Death %>%
dplyr::filter(COUNTRY == "Slovenia" | COUNTRY == "Lithuania" | COUNTRY == "Greece" | COUNTRY == "Latvia" | COUNTRY == "Slovakia")
Plot_28D.3 <- ggplot(data = First_Death_Low, aes(x = Date, y = new_rolling_average_mortality * 100, color = COUNTRY)) + geom_line() + theme_bw() + theme(axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("New Mortality Rate (%)")
Plot_28D.3
Plot_28E <- ggplot(data = First_Death, aes(x = Date, y = log(total_rolling_average_mortality), color = COUNTRY)) + geom_line() + theme_bw() + theme(legend.title = element_blank(), legend.position = "none", axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Logged Cumulative Mortality Rate")
Plot_28E
## Cyprus, Malta, and Luxembourg excluded from below.
Oxford_Filtered <- Oxford_V1 %>%
dplyr::filter(COUNTRY != "Malta") %>%
dplyr::filter(COUNTRY != "Luxembourg") %>%
dplyr::filter(COUNTRY != "Cyprus")
countriez <- unique(Oxford_Filtered$COUNTRY)
country_plots<-list()
for(i in 1:length(countriez)) {
country_plots[[i]] <- ggplot(data=subset(Oxford_Filtered,COUNTRY==countriez[i]), aes_string(x="Date",y="new_rolling_average_mortality"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])+theme(axis.text=element_blank())
}
Plot28F <- do.call("grid.arrange", c(country_plots))
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 11 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
## Warning: Removed 23 row(s) containing missing values (geom_path).
Oxford_Death <- Oxford_V1 %>%
dplyr::group_by(COUNTRY) %>%
dplyr::filter(Total_Deceased_Country > 0)
Plot_28G <- ggplot(data = Oxford_Death, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28G
## Warning: Removed 160 row(s) containing missing values (geom_path).
Plot_28G.1 <- plot_ly(Oxford_Death, x=~Date, y=~Total_Deaths_Per_Million) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Total Total_Deaths_Per_Million")
Plot_28G.1
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Oxford_Death_High <- Oxford_V1 %>%
dplyr::filter(COUNTRY == "Belgium" | COUNTRY == "Spain" | COUNTRY == "Italy" | COUNTRY == "France" | COUNTRY == "Netherlands" | COUNTRY == "Estonia")
Plot_28H <- ggplot(data = Oxford_Death_High, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28H
## Warning: Removed 138 row(s) containing missing values (geom_path).
Oxford_Death_Medium <- Oxford_V1 %>%
dplyr::filter(COUNTRY == "Portugal" | COUNTRY == "Germany" | COUNTRY == "Finland" | COUNTRY == "Austria" | COUNTRY == "Estonia")
Plot_28I <- ggplot(data = Oxford_Death_Medium, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28I
## Warning: Removed 115 row(s) containing missing values (geom_path).
Oxford_Death_Low <- Oxford_V1 %>%
dplyr::filter(COUNTRY == "Slovenia" | COUNTRY == "Lithuania" | COUNTRY == "Greece" | COUNTRY == "Latvia" | COUNTRY == "Slovakia")
Plot_28J <- ggplot(data = Oxford_Death_Low, aes(x = Date, y = Total_Deaths_Per_Million, color = COUNTRY)) + geom_line() + theme_bw() + theme( axis.title.y=element_text(size=9), axis.title.x=element_blank()) + ylab("Total Deaths Per Million")
Plot_28J
## Warning: Removed 103 row(s) containing missing values (geom_path).
# Next, I create initial visualizations of the mortality growth rates by country.
Plot_29 <- plot_ly(First_Death, x=~Date, y=~total_mortality_growth) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Weekly Growth Rate in Total Rolling Average Mortality per Capita - COVID19")
Plot_29
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_30 <- plot_ly(First_Death, x=~Date, y=~total_mortality_growth_b) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Alternate Weekly Growth Rate in Total Rolling Average Mortality per Capita - COVID19")
Plot_30
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
Plot_31 <- plot_ly(First_Death, x=~Date, y=~new_mortality_growth) %>%
add_lines(linetype = ~COUNTRY) %>%
layout(title="Weekly Growth Rate in New Rolling Average Mortality per Capita - COVID19")
Plot_31
## Warning: plotly.js only supports 6 different linetypes
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
## Warning: The following are not valid linetype codes:
## 'NA'
## Valid linetypes include:
## 'solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot'
# First, we generate extensive summary statistics for each variable with describe in the Hmisc function.
Hmisc::describe(Oxford_V1)
## Oxford_V1
##
## 79 Variables 3138 Observations
## --------------------------------------------------------------------------------
## COUNTRY
## n missing distinct
## 3138 0 19
##
## lowest : Austria Belgium Cyprus Estonia Finland
## highest: Netherlands Portugal Slovakia Slovenia Spain
##
## Austria (167, 0.053), Belgium (167, 0.053), Cyprus (167, 0.053), Estonia (167,
## 0.053), Finland (167, 0.053), France (167, 0.053), Germany (167, 0.053), Greece
## (167, 0.053), Ireland (167, 0.053), Italy (167, 0.053), Latvia (155, 0.049),
## Lithuania (167, 0.053), Luxembourg (167, 0.053), Malta (144, 0.046),
## Netherlands (167, 0.053), Portugal (167, 0.053), Slovakia (167, 0.053),
## Slovenia (167, 0.053), Spain (167, 0.053)
## --------------------------------------------------------------------------------
## Date
## n missing distinct Info Mean Gmd .05
## 3138 0 167 1 2020-03-25 4772407 2020-01-10
## .10 .25 .50 .75 .90 .95
## 2020-01-19 2020-02-13 2020-03-25 2020-05-05 2020-05-30 2020-06-07
##
## lowest : 2020-01-01 2020-01-02 2020-01-03 2020-01-04 2020-01-05
## highest: 2020-06-11 2020-06-12 2020-06-13 2020-06-14 2020-06-15
## --------------------------------------------------------------------------------
## Total_Cases_Country
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 1696 0.992 25253 42545 0 0
## .25 .50 .75 .90 .95
## 2 1030 13980 106540 185048
##
## lowest : 0 1 2 3 4, highest: 242280 242707 243209 243605 243928
## --------------------------------------------------------------------------------
## Total_Deceased_Country
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 870 0.953 2646 4666 0 0
## .25 .50 .75 .90 .95
## 0 17 444 8466 24671
##
## lowest : 0 1 2 3 4, highest: 34114 34167 34223 34301 34345
## --------------------------------------------------------------------------------
## New_Confirmed_Country
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 722 0.974 401.1 698.4 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 12.0 186.0 967.6 2459.4
##
## lowest : 0 1 2 3 4, highest: 8195 8271 9630 12490 26849
## --------------------------------------------------------------------------------
## New_Total_Deceased_Country
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 328 0.831 44.46 80.07 0.0 0.0
## .25 .50 .75 .90 .95
## 0.0 0.0 9.0 113.0 288.2
##
## lowest : 0 1 2 3 4, highest: 1054 1122 1341 1417 1438
## --------------------------------------------------------------------------------
## Population
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 19 0.997 17816441 23208978 441539 625976
## .25 .50 .75 .90 .95
## 1886202 5540718 17134873 65273512 83783945
##
## lowest : 441539 625976 1207361 1326539 1886202
## highest: 17134873 46754783 60461828 65273512 83783945
##
## 441539 (144, 0.053), 625976 (143, 0.053), 1207361 (143, 0.053), 1326539 (144,
## 0.053), 1886202 (144, 0.053), 2078932 (144, 0.053), 2722291 (143, 0.053),
## 4937796 (142, 0.052), 5459643 (143, 0.053), 5540718 (142, 0.052), 9006400 (144,
## 0.053), 10196707 (143, 0.053), 10423056 (144, 0.053), 11589616 (144, 0.053),
## 17134873 (144, 0.053), 46754783 (142, 0.052), 60461828 (144, 0.053), 65273512
## (137, 0.050), 83783945 (143, 0.053)
## --------------------------------------------------------------------------------
## Total_Mortality_Rate_Per_Capita
## n missing distinct Info Mean Gmd
## 2717 421 1213 0.953 0.00008317 0.0001333
## .05 .10 .25 .50 .75 .90
## 0.000000000 0.000000000 0.000000000 0.000006892 0.000060830 0.000336646
## .95
## 0.000508625
##
## lowest : 0.00000000000000 0.00000001532015 0.00000001653936 0.00000002138819 0.00000002387092
## highest: 0.00083082994294 0.00083143393189 0.00083229677325 0.00083264190979 0.00083307333047
## --------------------------------------------------------------------------------
## New_Mortality_Rate_Per_Capita
## n missing distinct Info Mean Gmd
## 2717 421 629 0.832 0.000001443 0.000002423
## .05 .10 .25 .50 .75 .90
## 0.000000000 0.000000000 0.000000000 0.000000000 0.000001079 0.000004411
## .95
## 0.000008416
##
## lowest : 0.00000000000000 0.00000001193546 0.00000001532015 0.00000001653936 0.00000002138819
## highest: 0.00002821491238 0.00003477250670 0.00003598048460 0.00004279693132 0.00004455429102
## --------------------------------------------------------------------------------
## Total_Cases_Country_Per_Capita
## n missing distinct Info Mean Gmd
## 2717 421 1915 0.992 0.001094 0.001512
## .05 .10 .25 .50 .75 .90
## 0.0000000000 0.0000000000 0.0000001805 0.0003059057 0.0015663638 0.0036365935
## .95
## 0.0049412636
##
## lowest : 0.00000000000000 0.00000001193546 0.00000002138819 0.00000003064030 0.00000003307872
## highest: 0.00646829910412 0.00647309162013 0.00647788413613 0.00649066417882 0.00650184671617
## --------------------------------------------------------------------------------
## rolling_average_confirmed
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 1176 0.989 398.8 689 0.0000 0.0000
## .25 .50 .75 .90 .95
## 0.1429 12.7143 193.5714 1017.4286 2605.0857
##
## lowest : 0.0000000 0.1428571 0.2000000 0.2857143 0.4285714
## highest: 7754.1428571 7800.4285714 8005.4285714 8049.4285714 8387.0000000
## --------------------------------------------------------------------------------
## rolling_average_deceased
## n missing distinct Info Mean Gmd .05 .10
## 2717 421 612 0.935 44.33 79.3 0.0000 0.0000
## .25 .50 .75 .90 .95
## 0.0000 0.4286 10.0000 128.0571 274.2000
##
## lowest : 0.0000000 0.1428571 0.2857143 0.4285714 0.5714286
## highest: 902.7142857 924.7142857 956.4285714 973.0000000 975.7142857
## --------------------------------------------------------------------------------
## total_rolling_average_mortality
## n missing distinct Info Mean Gmd
## 2717 421 1618 0.954 0.00007887 0.0001276
## .05 .10 .25 .50 .75 .90
## 0.000000000 0.000000000 0.000000000 0.000005129 0.000055821 0.000326543
## .95
## 0.000487127
##
## lowest : 0.000000000000000 0.000000002188593 0.000000002362766 0.000000003055455 0.000000003410132
## highest: 0.000827625103615 0.000828709818464 0.000829695922872 0.000830558764230 0.000831298342536
## --------------------------------------------------------------------------------
## new_rolling_average_mortality
## n missing distinct Info Mean Gmd
## 2717 421 977 0.935 0.000001439 0.000002362
## .05 .10 .25 .50 .75 .90
## 0.0000000000 0.0000000000 0.0000000000 0.0000001183 0.0000011411 0.0000042028
## .95
## 0.0000084753
##
## lowest : 0.000000000000000 0.000000002188593 0.000000002362766 0.000000003055455 0.000000003410132
## highest: 0.000026427598144 0.000026538534889 0.000027117871229 0.000027993038892 0.000028769596113
## --------------------------------------------------------------------------------
## C1_School.closing
## n missing distinct Info Mean Gmd
## 2865 273 4 0.868 1.483 1.447
##
## Value 0 1 2 3
## Frequency 1226 67 534 1038
## Proportion 0.428 0.023 0.186 0.362
## --------------------------------------------------------------------------------
## C2_Workplace.closing
## n missing distinct Info Mean Gmd
## 2754 384 4 0.875 1.237 1.348
##
## Value 0 1 2 3
## Frequency 1273 183 671 627
## Proportion 0.462 0.066 0.244 0.228
## --------------------------------------------------------------------------------
## C3_Cancel.public.events
## n missing distinct Info Mean Gmd
## 2865 273 3 0.748 1.159 0.9745
##
## Value 0 1 2
## Frequency 1172 65 1628
## Proportion 0.409 0.023 0.568
## --------------------------------------------------------------------------------
## C4_Restrictions.on.gatherings
## n missing distinct Info Mean Gmd
## 2865 273 5 0.859 1.901 1.942
##
## lowest : 0 1 2 3 4, highest: 0 1 2 3 4
##
## Value 0 1 2 3 4
## Frequency 1323 44 48 493 957
## Proportion 0.462 0.015 0.017 0.172 0.334
## --------------------------------------------------------------------------------
## C5_Close.public.transport
## n missing distinct Info Mean Gmd
## 2771 367 3 0.716 0.4421 0.6115
##
## Value 0 1 2
## Frequency 1773 771 227
## Proportion 0.640 0.278 0.082
## --------------------------------------------------------------------------------
## C6_Stay.at.home.requirements
## n missing distinct Info Mean Gmd
## 2771 367 4 0.834 0.756 0.9049
##
## Value 0 1 2 3
## Frequency 1433 602 715 21
## Proportion 0.517 0.217 0.258 0.008
## --------------------------------------------------------------------------------
## C7_Restrictions.on.internal.movement
## n missing distinct Info Mean Gmd
## 2771 367 3 0.836 0.7503 0.8877
##
## Value 0 1 2
## Frequency 1421 621 729
## Proportion 0.513 0.224 0.263
## --------------------------------------------------------------------------------
## C8_International.travel.controls
## n missing distinct Info Mean Gmd
## 2855 283 5 0.899 1.874 1.824
##
## lowest : 0 1 2 3 4, highest: 0 1 2 3 4
##
## Value 0 1 2 3 4
## Frequency 1177 53 220 764 641
## Proportion 0.412 0.019 0.077 0.268 0.225
## --------------------------------------------------------------------------------
## E1_Income.support
## n missing distinct Info Mean Gmd
## 2776 362 3 0.817 0.8516 0.9621
##
## Value 0 1 2
## Frequency 1417 354 1005
## Proportion 0.510 0.128 0.362
## --------------------------------------------------------------------------------
## E2_Debt.contract.relief
## n missing distinct Info Mean Gmd
## 2763 375 3 0.834 0.8368 0.946
##
## Value 0 1 2
## Frequency 1377 460 926
## Proportion 0.498 0.166 0.335
## --------------------------------------------------------------------------------
## E3_Fiscal.measures
## n missing distinct Info Mean Gmd .05
## 2758 380 60 0.063 698571078 1394441770 0
## .10 .25 .50 .75 .90 .95
## 0 0 0 0 0 0
##
## lowest : 0 434 536507 2742178 5659430
## highest: 68442949673 147000000000 238510000000 452656000000 709276000000
##
## 0 (2725, 0.988), 2000000000 (7, 0.003), 4000000000 (7, 0.003), 6000000000 (2,
## 0.001), 8000000000 (2, 0.001), 10000000000 (4, 0.001), 14000000000 (2, 0.001),
## 16000000000 (1, 0.000), 42000000000 (1, 0.000), 48000000000 (1, 0.000),
## 60000000000 (1, 0.000), 68000000000 (1, 0.000), 148000000000 (1, 0.000),
## 238000000000 (1, 0.000), 452000000000 (1, 0.000), 710000000000 (1, 0.000)
##
## For the frequency table, variable is rounded to the nearest 2e+09
## --------------------------------------------------------------------------------
## H1_Public.information.campaigns
## n missing distinct Info Mean Gmd
## 2753 385 3 0.653 1.421 0.8216
##
## Value 0 1 2
## Frequency 739 117 1897
## Proportion 0.268 0.042 0.689
## --------------------------------------------------------------------------------
## H2_Testing.policy
## n missing distinct Info Mean Gmd
## 2753 385 4 0.904 1.123 0.9984
##
## Value 0 1 2 3
## Frequency 789 1056 688 220
## Proportion 0.287 0.384 0.250 0.080
## --------------------------------------------------------------------------------
## H3_Contact.tracing
## n missing distinct Info Mean Gmd
## 2753 385 3 0.884 0.9415 0.915
##
## Value 0 1 2
## Frequency 1063 788 902
## Proportion 0.386 0.286 0.328
## --------------------------------------------------------------------------------
## H4_Emergency.investment.in.healthcare
## n missing distinct Info Mean Gmd .05 .10
## 2753 385 24 0.025 31126358 62207428 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 0
##
## lowest : 0.0 585.0 179954.2 325949.0 1080970.9
## highest: 3500000000.0 3564000000.0 4213310800.0 4409436000.0 62997723800.0
##
## 0 (2738, 0.995), 100000000 (3, 0.001), 300000000 (1, 0.000), 500000000 (1,
## 0.000), 600000000 (3, 0.001), 1100000000 (1, 0.000), 3100000000 (1, 0.000),
## 3500000000 (1, 0.000), 3600000000 (1, 0.000), 4200000000 (1, 0.000), 4400000000
## (1, 0.000), 63000000000 (1, 0.000)
##
## For the frequency table, variable is rounded to the nearest 1e+08
## --------------------------------------------------------------------------------
## H5_Investment.in.vaccines
## n missing distinct Info Mean Gmd .05 .10
## 2749 389 18 0.018 811940 1622171 0 0
## .25 .50 .75 .90 .95
## 0 0 0 0 0
##
## lowest : 0 246961 1067577 1085695 3242505
## highest: 54880244 156510825 544911500 545000000 812000000
##
## 0 (2732, 0.994), 246961 (1, 0.000), 1067576.52 (1, 0.000), 1085695 (1, 0.000),
## 3242505 (1, 0.000), 5427500 (1, 0.000), 5543828 (1, 0.000), 8010337 (1, 0.000),
## 10819830 (1, 0.000), 15300000 (1, 0.000), 19633914 (1, 0.000), 22000000 (1,
## 0.000), 26342520 (1, 0.000), 54880244 (1, 0.000), 156510825 (1, 0.000),
## 544911500 (1, 0.000), 545000000 (1, 0.000), 812000000 (1, 0.000)
## --------------------------------------------------------------------------------
## StringencyIndex
## n missing distinct Info Mean Gmd .05 .10
## 2761 377 100 0.981 43.13 39.76 0.00 0.00
## .25 .50 .75 .90 .95
## 0.00 50.00 77.78 85.19 90.74
##
## lowest : 0.00 1.85 2.78 5.56 8.33, highest: 90.74 91.67 92.59 93.52 94.44
## --------------------------------------------------------------------------------
## Oxford_Cases
## n missing distinct Info Mean Gmd .05 .10
## 2645 493 1646 0.989 25725 42962 0 0
## .25 .50 .75 .90 .95
## 1 1188 15651 119218 181222
##
## lowest : 0 1 2 3 4, highest: 242280 242707 243209 243605 243928
## --------------------------------------------------------------------------------
## Oxford_Deaths
## n missing distinct Info Mean Gmd .05 .10
## 2645 493 880 0.951 2796 4900 0 0
## .25 .50 .75 .90 .95
## 0 22 598 8709 25600
##
## lowest : 0 1 2 3 4, highest: 34114 34167 34223 34301 34345
## --------------------------------------------------------------------------------
## GovernmentResponseIndex
## n missing distinct Info Mean Gmd .05 .10
## 2753 385 136 0.99 42.46 37.49 0.00 0.00
## .25 .50 .75 .90 .95
## 2.56 53.85 74.36 82.69 84.62
##
## lowest : 0.00 1.92 2.56 3.85 5.77, highest: 85.90 86.54 87.82 91.03 96.15
## --------------------------------------------------------------------------------
## ContainmentHealthIndex
## n missing distinct Info Mean Gmd .05 .10
## 2753 385 117 0.989 42.93 37.14 0.00 0.00
## .25 .50 .75 .90 .95
## 3.03 53.79 73.48 81.82 85.61
##
## lowest : 0.00 2.27 3.03 4.55 6.82, highest: 88.64 89.39 90.15 91.67 95.45
## --------------------------------------------------------------------------------
## Latitude
## n missing distinct Info Mean Gmd .05 .10
## 3128 10 19 0.997 47.92 8.505 35.13 39.07
## .25 .50 .75 .90 .95
## 40.46 48.67 53.41 58.60 61.92
##
## lowest : 35.12641 35.93750 39.07421 39.39987 40.46367
## highest: 53.41291 55.16944 56.87964 58.59527 61.92411
##
## 35.126413 (167, 0.053), 35.937496 (144, 0.046), 39.074208 (167, 0.053),
## 39.399872 (167, 0.053), 40.463667 (167, 0.053), 41.87194 (167, 0.053),
## 46.151241 (167, 0.053), 46.227638 (167, 0.053), 47.516231 (167, 0.053),
## 48.669026 (167, 0.053), 49.815273 (167, 0.053), 50.503887 (167, 0.053),
## 51.165691 (167, 0.053), 52.132633 (167, 0.053), 53.41291 (167, 0.053),
## 55.169438 (167, 0.053), 56.879635 (145, 0.046), 58.595272 (167, 0.053),
## 61.92411 (167, 0.053)
## --------------------------------------------------------------------------------
## Longitude
## n missing distinct Info Mean Gmd .05 .10
## 3128 10 19 0.997 12.48 13.33 -8.244 -8.224
## .25 .50 .75 .90 .95
## 4.470 14.375 23.881 25.748 33.430
##
## lowest : -8.243890 -8.224454 -3.749220 2.213749 4.469936
## highest: 23.881275 24.603189 25.013607 25.748151 33.429859
##
## -8.24389 (167, 0.053), -8.224454 (167, 0.053), -3.74922 (167, 0.053), 2.213749
## (167, 0.053), 4.469936 (167, 0.053), 5.291266 (167, 0.053), 6.129583 (167,
## 0.053), 10.451526 (167, 0.053), 12.56738 (167, 0.053), 14.375416 (144, 0.046),
## 14.550072 (167, 0.053), 14.995463 (167, 0.053), 19.699024 (167, 0.053),
## 21.824312 (167, 0.053), 23.881275 (167, 0.053), 24.603189 (145, 0.046),
## 25.013607 (167, 0.053), 25.748151 (167, 0.053), 33.429859 (167, 0.053)
## --------------------------------------------------------------------------------
## prop65
## n missing distinct Info Mean Gmd .05 .10
## 3128 10 19 0.997 19.07 2.879 13.72 13.87
## .25 .50 .75 .90 .95
## 18.79 19.63 21.46 21.95 22.75
##
## lowest : 13.71906 13.86580 14.18315 15.62925 18.78874
## highest: 21.46196 21.65527 21.72079 21.95386 22.75168
##
## 13.719062 (167, 0.053), 13.865802 (167, 0.053), 14.183154 (167, 0.053),
## 15.629247 (167, 0.053), 18.788744 (167, 0.053), 19.001566 (167, 0.053),
## 19.196193 (167, 0.053), 19.378508 (167, 0.053), 19.60688 (167, 0.053),
## 19.626357 (167, 0.053), 19.705033 (167, 0.053), 20.034625 (167, 0.053),
## 20.04362 (145, 0.046), 20.349324 (144, 0.046), 21.461962 (167, 0.053),
## 21.655272 (167, 0.053), 21.720788 (167, 0.053), 21.953858 (167, 0.053),
## 22.75168 (167, 0.053)
## --------------------------------------------------------------------------------
## propurban
## n missing distinct Info Mean Gmd .05 .10
## 3128 10 19 0.997 74.34 14.84 53.73 54.54
## .25 .50 .75 .90 .95
## 65.21 70.44 85.38 91.49 98.00
##
## lowest : 53.726 54.541 58.297 63.170 65.211, highest: 85.382 90.981 91.490 94.612 98.001
##
## 53.726 (167, 0.053), 54.541 (167, 0.053), 58.297 (167, 0.053), 63.17 (167,
## 0.053), 65.211 (167, 0.053), 66.81 (167, 0.053), 67.679 (167, 0.053), 68.142
## (145, 0.046), 68.88 (167, 0.053), 70.438 (167, 0.053), 77.312 (167, 0.053),
## 79.058 (167, 0.053), 80.321 (167, 0.053), 80.444 (167, 0.053), 85.382 (167,
## 0.053), 90.981 (167, 0.053), 91.49 (167, 0.053), 94.612 (144, 0.046), 98.001
## (167, 0.053)
## --------------------------------------------------------------------------------
## popdensity
## n missing distinct Info Mean Gmd .05 .10
## 2961 177 18 0.997 215.7 243.9 18.16 30.39
## .25 .50 .75 .90 .95
## 70.45 107.21 237.37 511.46 511.46
##
## lowest : 18.15686 30.38611 30.98331 44.53135 70.45298
## highest: 237.37097 250.09383 377.21493 511.45791 1511.03125
##
## 18.15685565 (167, 0.056), 30.38610536 (167, 0.056), 30.98330653 (145, 0.049),
## 44.53135138 (167, 0.056), 70.45298302 (167, 0.056), 83.22473235 (167, 0.056),
## 93.52905826 (167, 0.056), 102.6398595 (167, 0.056), 107.2069267 (167, 0.056),
## 112.2394535 (167, 0.056), 122.3383957 (167, 0.056), 128.7083333 (167, 0.056),
## 205.4507479 (167, 0.056), 237.3709698 (167, 0.056), 250.0938272 (167, 0.056),
## 377.2149273 (167, 0.056), 511.4579104 (167, 0.056), 1511.03125 (144, 0.049)
## --------------------------------------------------------------------------------
## driving
## n missing distinct Info Mean Gmd .05 .10
## 2567 571 2276 1 82.94 39.58 23.03 30.41
## .25 .50 .75 .90 .95
## 54.20 90.92 108.05 122.22 132.85
##
## lowest : 10.93 11.31 11.50 11.85 11.90, highest: 174.86 180.13 186.34 197.97 205.58
## --------------------------------------------------------------------------------
## walking
## n missing distinct Info Mean Gmd .05 .10
## 2567 571 2318 1 82.1 47.87 16.34 27.23
## .25 .50 .75 .90 .95
## 47.58 82.60 111.09 133.12 150.97
##
## lowest : 5.82 6.27 6.30 6.67 6.99, highest: 220.80 229.51 235.37 236.75 362.50
## --------------------------------------------------------------------------------
## transit
## n missing distinct Info Mean Gmd .05 .10
## 1661 1477 1511 1 65.39 46.42 11.07 13.65
## .25 .50 .75 .90 .95
## 27.85 55.81 103.22 118.14 127.58
##
## lowest : 7.04 7.16 7.33 7.58 7.61, highest: 155.51 157.63 157.64 160.26 160.56
## --------------------------------------------------------------------------------
## arrivals
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 23113869 27475711 1018000 1946000
## .25 .50 .75 .90 .95
## 3224000 10926000 30816000 82773000 89322000
##
## lowest : 1018000 1946000 2599000 2825000 3224000
## highest: 30816000 38881000 61567200 82773000 89322000
##
## 1018000 (167, 0.056), 1946000 (155, 0.052), 2599000 (144, 0.048), 2825000 (167,
## 0.056), 3224000 (167, 0.056), 3234000 (167, 0.056), 3939000 (167, 0.056),
## 4425000 (167, 0.056), 9119000 (167, 0.056), 10926000 (167, 0.056), 16186000
## (167, 0.056), 18780000 (167, 0.056), 30123000 (167, 0.056), 30816000 (167,
## 0.056), 38881000 (167, 0.056), 61567200 (167, 0.056), 82773000 (167, 0.056),
## 89322000 (167, 0.056)
## --------------------------------------------------------------------------------
## departures
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 15532851 19641807 1368000 1368000
## .25 .50 .75 .90 .95
## 2069000 8643000 19116000 33347100 108542000
##
## lowest : 667000 1368000 1446000 1989000 2069000
## highest: 19116000 22115000 26914000 33347100 108542000
##
## 667000 (144, 0.048), 1368000 (155, 0.052), 1446000 (167, 0.056), 1989000 (167,
## 0.056), 2069000 (167, 0.056), 2244000 (167, 0.056), 2486000 (167, 0.056),
## 3188000 (167, 0.056), 7961000 (167, 0.056), 8643000 (167, 0.056), 9450000 (167,
## 0.056), 11883000 (167, 0.056), 13098000 (167, 0.056), 19116000 (167, 0.056),
## 22115000 (167, 0.056), 26914000 (167, 0.056), 33347100 (167, 0.056), 108542000
## (167, 0.056)
## --------------------------------------------------------------------------------
## vul_emp
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 10.52 4.476 5.615 5.620
## .25 .50 .75 .90 .95
## 7.385 10.189 11.196 16.866 25.796
##
## lowest : 5.615 5.620 6.149 7.143 7.385, highest: 11.196 11.848 12.653 16.866 25.796
##
## Value 5.615 5.620 6.149 7.143 7.385 7.428 9.152 9.585 9.809
## Frequency 167 167 167 155 167 167 167 167 144
## Proportion 0.056 0.056 0.056 0.052 0.056 0.056 0.056 0.056 0.048
##
## Value 10.189 10.610 10.982 11.060 11.196 11.848 12.653 16.866 25.796
## Frequency 167 167 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## GNI
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 36531 17545 16510 17430
## .25 .50 .75 .90 .95
## 21990 33730 48280 61390 70870
##
## lowest : 16510 17430 19770 21140 21990, highest: 48280 49310 51260 61390 70870
##
## Value 16510 17430 19770 21140 21990 24580 26480 28570 29340 33730 41080
## Frequency 155 167 167 167 167 167 144 167 167 167 167
## Proportion 0.052 0.056 0.056 0.056 0.056 0.056 0.048 0.056 0.056 0.056 0.056
##
## Value 45910 47090 48280 49310 51260 61390 70870
## Frequency 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## health_exp
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 3183 1803 930.4 1078.2
## .25 .50 .75 .90 .95
## 1731.7 2840.1 4911.4 5033.5 5782.6
##
## lowest : 930.3524 1078.1792 1300.4817 1516.5878 1731.6945
## highest: 4911.4404 4939.8755 4976.8623 5033.4521 5782.6284
##
## 930.352356 (155, 0.052), 1078.179199 (167, 0.056), 1300.481689 (167, 0.056),
## 1516.587769 (167, 0.056), 1731.694458 (167, 0.056), 1908.033936 (167, 0.056),
## 1920.28186 (167, 0.056), 2506.464844 (167, 0.056), 2585.563965 (144, 0.048),
## 2840.130615 (167, 0.056), 4205.742676 (167, 0.056), 4379.727051 (167, 0.056),
## 4507.356445 (167, 0.056), 4911.44043 (167, 0.056), 4939.875488 (167, 0.056),
## 4976.862305 (167, 0.056), 5033.452148 (167, 0.056), 5782.628418 (167, 0.056)
## --------------------------------------------------------------------------------
## pollution
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 11.97 3.733 5.861 6.732
## .25 .50 .75 .90 .95
## 9.698 12.029 13.910 16.751 17.294
##
## lowest : 5.861331 6.732124 8.160752 8.208577 9.697928
## highest: 13.909543 16.023980 16.218266 16.750712 17.294406
##
## 5.861331001 (167, 0.056), 6.732124015 (167, 0.056), 8.160752248 (167, 0.056),
## 8.208576735 (167, 0.056), 9.697927863 (167, 0.056), 10.3646374 (167, 0.056),
## 11.81496362 (167, 0.056), 11.85328236 (167, 0.056), 12.02876736 (167, 0.056),
## 12.03440807 (167, 0.056), 12.47796673 (167, 0.056), 12.88651847 (167, 0.056),
## 13.42645752 (155, 0.052), 13.90954337 (144, 0.048), 16.02397998 (167, 0.056),
## 16.21826638 (167, 0.056), 16.75071194 (167, 0.056), 17.2944062 (167, 0.056)
## --------------------------------------------------------------------------------
## EUI_democracy
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 18 0.996 8.072 0.7076 7.17 7.43
## .25 .50 .75 .90 .95
## 7.50 7.95 8.68 9.24 9.25
##
## lowest : 7.17 7.43 7.49 7.50 7.52, highest: 8.68 8.81 9.01 9.24 9.25
##
## Value 7.17 7.43 7.49 7.50 7.52 7.59 7.64 7.90 7.95 8.03 8.12
## Frequency 167 167 155 334 167 167 167 167 144 167 167
## Proportion 0.053 0.053 0.049 0.106 0.053 0.053 0.053 0.053 0.046 0.053 0.053
##
## Value 8.18 8.29 8.68 8.81 9.01 9.24 9.25
## Frequency 167 167 167 167 167 167 167
## Proportion 0.053 0.053 0.053 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## freedom_house
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 12 0.985 93.3 4.157 88 88
## .25 .50 .75 .90 .95
## 90 94 96 99 100
##
## lowest : 88 89 90 91 92, highest: 96 97 98 99 100
##
## Value 88 89 90 91 92 93 94 96 97 98 99
## Frequency 334 322 311 167 167 167 668 334 167 167 167
## Proportion 0.106 0.103 0.099 0.053 0.053 0.053 0.213 0.106 0.053 0.053 0.053
##
## Value 100
## Frequency 167
## Proportion 0.053
## --------------------------------------------------------------------------------
## cellular_sub
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 19 0.997 125.3 17.52 99.7 103.2
## .25 .50 .75 .90 .95
## 115.6 123.7 137.5 145.4 163.9
##
## lowest : 99.69669 103.17105 107.34892 108.35736 115.63304
## highest: 137.46695 138.90049 140.20394 145.43842 163.87035
## --------------------------------------------------------------------------------
## milex
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 19 0.997 8843960 12641096 256000 267000
## .25 .50 .75 .90 .95
## 437000 2640000 10376000 40994000 50283000
##
## lowest : 50000 256000 267000 329000 437000
## highest: 10376000 13927000 26496000 40994000 50283000
##
## 50000 (144, 0.046), 256000 (155, 0.049), 267000 (167, 0.053), 329000 (167,
## 0.053), 437000 (167, 0.053), 450000 (167, 0.053), 509000 (167, 0.053), 1016000
## (167, 0.053), 1149000 (167, 0.053), 2640000 (167, 0.053), 3232000 (167, 0.053),
## 3601000 (167, 0.053), 4929000 (167, 0.053), 5266000 (167, 0.053), 10376000
## (167, 0.053), 13927000 (167, 0.053), 26496000 (167, 0.053), 40994000 (167,
## 0.053), 50283000 (167, 0.053)
## --------------------------------------------------------------------------------
## milper
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 19 0.997 63.67 80.06 1 5
## .25 .50 .75 .90 .95
## 8 22 143 239 251
##
## lowest : 1 2 5 6 8, highest: 143 146 185 239 251
##
## Value 1 2 5 6 8 10 11 12 16 22 26
## Frequency 167 144 155 167 167 167 167 167 167 167 167
## Proportion 0.053 0.046 0.049 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
##
## Value 34 37 43 143 146 185 239 251
## Frequency 167 167 167 167 167 167 167 167
## Proportion 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## irst
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 15 0.981 7223 9850 0 0
## .25 .50 .75 .90 .95
## 0 2208 7421 27252 42661
##
## lowest : 0 632 805 1247 1960, highest: 7421 13639 15609 27252 42661
##
## Value 0 632 805 1247 1960 2208 3759 4403 6879 7301 7421
## Frequency 812 167 155 167 167 167 167 167 167 167 167
## Proportion 0.259 0.053 0.049 0.053 0.053 0.053 0.053 0.053 0.053 0.053 0.053
##
## Value 13639 15609 27252 42661
## Frequency 167 167 167 167
## Proportion 0.053 0.053 0.053 0.053
## --------------------------------------------------------------------------------
## pec
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 19 0.997 90388 117919 590 2776
## .25 .50 .75 .90 .95
## 4820 35160 166002 276777 468740
##
## lowest : 283 590 2776 2937 4820, highest: 166002 200288 234432 276777 468740
##
## 283 (144, 0.046), 590 (167, 0.053), 2776 (167, 0.053), 2937 (167, 0.053), 4820
## (155, 0.049), 5653 (167, 0.053), 16961 (167, 0.053), 19562 (167, 0.053), 23835
## (167, 0.053), 35160 (167, 0.053), 42148 (167, 0.053), 42629 (167, 0.053), 68375
## (167, 0.053), 86845 (167, 0.053), 166002 (167, 0.053), 200288 (167, 0.053),
## 234432 (167, 0.053), 276777 (167, 0.053), 468740 (167, 0.053)
## --------------------------------------------------------------------------------
## cinc
## n missing distinct Info Mean Gmd .05 .10
## 3138 0 19 0.997 0.003813 0.005016 0.0001778 0.0001812
## .25 .50 .75 .90 .95
## 0.0002933 0.0015489 0.0041365 0.0142069 0.0179105
##
## lowest : 0.0000341 0.0001778 0.0001812 0.0002811 0.0002933
## highest: 0.0041365 0.0081208 0.0128479 0.0142069 0.0179105
##
## 0.0000341 (144, 0.046), 0.0001778 (167, 0.053), 0.0001812 (167, 0.053),
## 0.0002811 (167, 0.053), 0.0002933 (155, 0.049), 0.0003069 (167, 0.053),
## 0.0003944 (167, 0.053), 0.0005377 (167, 0.053), 0.0010607 (167, 0.053),
## 0.0015489 (167, 0.053), 0.0017053 (167, 0.053), 0.0020231 (167, 0.053),
## 0.0029283 (167, 0.053), 0.002971 (167, 0.053), 0.0041365 (167, 0.053),
## 0.0081208 (167, 0.053), 0.0128479 (167, 0.053), 0.0142069 (167, 0.053),
## 0.017910499 (167, 0.053)
## --------------------------------------------------------------------------------
## endocrine_deaths
## n missing distinct Info Mean Gmd
## 668 2470 4 0.938 806.5 716.1
##
## Value 99 329 1024 1774
## Frequency 167 167 167 167
## Proportion 0.25 0.25 0.25 0.25
## --------------------------------------------------------------------------------
## blood_pressure_deaths
## n missing distinct Info Mean Gmd .05 .10
## 2804 334 17 0.997 3688 5281 4 14
## .25 .50 .75 .90 .95
## 136 671 2922 10917 22129
##
## lowest : 4 14 35 40 136, highest: 2922 8019 10454 10917 22129
##
## Value 4 14 35 40 136 140 154 253 671 1778 1956
## Frequency 167 144 167 167 167 167 155 167 167 167 167
## Proportion 0.060 0.051 0.060 0.060 0.060 0.060 0.055 0.060 0.060 0.060 0.060
##
## Value 2310 2922 8019 10454 10917 22129
## Frequency 167 167 167 167 167 167
## Proportion 0.060 0.060 0.060 0.060 0.060 0.060
## --------------------------------------------------------------------------------
## respiratory_deaths
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 39161 53043 611 682
## .25 .50 .75 .90 .95
## 2292 14106 39763 150275 201122
##
## lowest : 611 682 712 1046 2292, highest: 39763 82599 95055 150275 201122
##
## Value 611 682 712 1046 2292 3852 3865 5382 6157
## Frequency 167 144 155 167 167 167 167 167 167
## Proportion 0.056 0.048 0.052 0.056 0.056 0.056 0.056 0.056 0.056
##
## Value 14106 23052 28644 37626 39763 82599 95055 150275 201122
## Frequency 167 167 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## govt_accountability
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 1.201 0.289 0.81 0.86
## .25 .50 .75 .90 .95
## 0.99 1.20 1.40 1.60 1.61
##
## lowest : 0.81 0.86 0.88 0.92 0.99, highest: 1.40 1.42 1.57 1.60 1.61
##
## Value 0.81 0.86 0.88 0.92 0.99 1.05 1.06 1.12 1.18 1.20 1.21
## Frequency 155 167 167 167 167 167 167 144 167 167 167
## Proportion 0.052 0.056 0.056 0.056 0.056 0.056 0.056 0.048 0.056 0.056 0.056
##
## Value 1.32 1.38 1.40 1.42 1.57 1.60 1.61
## Frequency 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## political_stability
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 15 0.994 0.7044 0.4263 0.09 0.11
## .25 .50 .75 .90 .95
## 0.41 0.75 0.92 1.29 1.37
##
## lowest : 0.09 0.11 0.25 0.31 0.41, highest: 0.92 1.03 1.14 1.29 1.37
##
## Value 0.09 0.11 0.25 0.31 0.41 0.42 0.60 0.75 0.87 0.91 0.92
## Frequency 167 167 167 167 167 155 334 334 167 167 334
## Proportion 0.056 0.056 0.056 0.056 0.056 0.052 0.112 0.112 0.056 0.056 0.112
##
## Value 1.03 1.14 1.29 1.37
## Frequency 167 167 144 167
## Proportion 0.056 0.056 0.048 0.056
## --------------------------------------------------------------------------------
## govt_effectiveness
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 1.215 0.4947 0.34 0.41
## .25 .50 .75 .90 .95
## 1.00 1.19 1.48 1.85 1.98
##
## lowest : 0.34 0.41 0.71 0.97 1.00, highest: 1.48 1.62 1.78 1.85 1.98
##
## Value 0.34 0.41 0.71 0.97 1.00 1.04 1.07 1.13 1.17 1.19 1.21
## Frequency 167 167 167 144 167 155 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.048 0.056 0.052 0.056 0.056 0.056 0.056 0.056
##
## Value 1.42 1.45 1.48 1.62 1.78 1.85 1.98
## Frequency 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## regulatory_quality
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 18 0.997 1.242 0.5196 0.30 0.67
## .25 .50 .75 .90 .95
## 0.89 1.19 1.60 1.79 2.02
##
## lowest : 0.30 0.67 0.69 0.81 0.89, highest: 1.60 1.75 1.76 1.79 2.02
##
## Value 0.30 0.67 0.69 0.81 0.89 0.95 1.11 1.17 1.19 1.23 1.34
## Frequency 167 167 167 167 167 167 167 167 155 167 144
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.052 0.056 0.048
##
## Value 1.54 1.56 1.60 1.75 1.76 1.79 2.02
## Frequency 167 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## rule_of_law
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 17 0.996 1.212 0.5919 0.15 0.25
## .25 .50 .75 .90 .95
## 0.96 1.24 1.63 1.88 2.05
##
## lowest : 0.15 0.25 0.53 0.96 0.97, highest: 1.63 1.81 1.82 1.88 2.05
##
## Value 0.15 0.25 0.53 0.96 0.97 1.05 1.06 1.14 1.24 1.37 1.44
## Frequency 167 167 167 322 167 144 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.108 0.056 0.048 0.056 0.056 0.056 0.056 0.056
##
## Value 1.46 1.63 1.81 1.82 1.88 2.05
## Frequency 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## control_of_corruption
## n missing distinct Info Mean Gmd .05 .10
## 2971 167 17 0.996 1.12 0.8005 -0.07 0.24
## .25 .50 .75 .90 .95
## 0.50 1.32 1.60 2.09 2.21
##
## lowest : -0.07 0.24 0.33 0.36 0.50, highest: 1.60 1.95 2.01 2.09 2.21
##
## Value -0.07 0.24 0.33 0.36 0.50 0.58 0.61 0.85 0.87 1.32 1.51
## Frequency 167 167 155 167 167 144 167 167 167 167 334
## Proportion 0.056 0.056 0.052 0.056 0.056 0.048 0.056 0.056 0.056 0.056 0.112
##
## Value 1.55 1.60 1.95 2.01 2.09 2.21
## Frequency 167 167 167 167 167 167
## Proportion 0.056 0.056 0.056 0.056 0.056 0.056
## --------------------------------------------------------------------------------
## Fiscal_Response_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 3 0.155 0.1077 0.2039
##
## Value 0 1 2
## Frequency 2966 6 166
## Proportion 0.945 0.002 0.053
## --------------------------------------------------------------------------------
## Monetary_Response_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 2 0.009 0.005736 0.01144
##
## Value 0 2
## Frequency 3129 9
## Proportion 0.997 0.003
## --------------------------------------------------------------------------------
## Macroprudential_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 3 0.077 0.05099 0.0994
##
## Value 0 1 2
## Frequency 3055 6 77
## Proportion 0.974 0.002 0.025
## --------------------------------------------------------------------------------
## Loan_or_Credit_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 3 0.058 0.0376 0.07381
##
## Value 0 1 2
## Frequency 3076 6 56
## Proportion 0.980 0.002 0.018
## --------------------------------------------------------------------------------
## EU_Fiscal_Response_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 3 0.373 0.2779 0.4786
##
## Value 0 1 2
## Frequency 2683 38 417
## Proportion 0.855 0.012 0.133
## --------------------------------------------------------------------------------
## EU_Macroprudential_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 2 0.373 0.2906 0.497
##
## Value 0 2
## Frequency 2682 456
## Proportion 0.855 0.145
## --------------------------------------------------------------------------------
## EU_Loan_or_Credit_Dummy
## n missing distinct Info Mean Gmd
## 3138 0 3 0.218 0.1453 0.2695
##
## Value 0 1 2
## Frequency 2891 38 209
## Proportion 0.921 0.012 0.067
## --------------------------------------------------------------------------------
## ECB_Announcement
## n missing distinct Info Mean Gmd
## 3138 0 2 0.054 0.03633 0.07136
##
## Value 0 2
## Frequency 3081 57
## Proportion 0.982 0.018
## --------------------------------------------------------------------------------
## Fed_Announcement
## n missing distinct Info Mean Gmd
## 3138 0 2 0.186 0.1326 0.2476
##
## Value 0 2
## Frequency 2930 208
## Proportion 0.934 0.066
## --------------------------------------------------------------------------------
## Population (Millions)
## n missing distinct Info Mean Gmd .05 .10
## 2827 311 17 0.997 20.12 24.71 1.19 1.32
## .25 .50 .75 .90 .95
## 2.79 8.85 17.23 66.99 82.93
##
## lowest : 1.19 1.32 1.93 2.07 2.79, highest: 17.23 46.72 60.43 66.99 82.93
##
## Value 1.19 1.32 1.93 2.07 2.79 4.85 5.45 5.52 8.85 10.28 10.73
## Frequency 167 167 155 167 167 167 167 167 167 167 167
## Proportion 0.059 0.059 0.055 0.059 0.059 0.059 0.059 0.059 0.059 0.059 0.059
##
## Value 11.42 17.23 46.72 60.43 66.99 82.93
## Frequency 167 167 167 167 167 167
## Proportion 0.059 0.059 0.059 0.059 0.059 0.059
## --------------------------------------------------------------------------------
## New_Deaths_Per_Million
## n missing distinct Info Mean Gmd .05 .10
## 2430 708 619 0.859 1.535 2.558 0.000 0.000
## .25 .50 .75 .90 .95
## 0.000 0.000 1.153 4.547 8.660
##
## lowest : 0.00000000 0.01205836 0.01492760 0.01654807 0.02140411
## highest: 28.63397548 35.28896673 36.51488616 43.43257443 45.36082474
## --------------------------------------------------------------------------------
## Total_Deaths_Per_Million
## n missing distinct Info Mean Gmd .05 .10
## 2430 708 1161 0.957 88.32 141.3 0.000 0.000
## .25 .50 .75 .90 .95
## 0.000 7.378 63.251 348.825 536.233
##
## lowest : 0.00000000 0.01492760 0.01654807 0.02140411 0.02411672
## highest: 843.16987741 843.78283713 844.65849387 845.00875657 845.44658494
## --------------------------------------------------------------------------------
##
## Variables with all observations missing:
##
## [1] M1_Wildcard
# n, nmiss, unique, mean, 5, 10, 25, 50, 75, 90, 95th percentiles
# Next, I generate shareable outputs, using the summarytools package. Set st_options(use.x11 = FALSE).
saved_x11_option <- st_options("use.x11")
st_options(use.x11 = TRUE)
dfSummary(Oxford_V1, plain.ascii = FALSE, style = "grid",
graph.magnif = 0.75, valid.col = FALSE, tmp.img.dir = "/tmp")
## ### Data Frame Summary
## #### Oxford_V1
## **Dimensions:** 3138 x 79
## **Duplicates:** 0
##
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | No | Variable | Stats / Values | Freqs (% of Valid) | Graph | Missing |
## +====+========================================+==========================================+======================+======================+==========+
## | 1 | COUNTRY\ | 1\. Austria\ | 167 ( 5.3%)\ |  | 0\ |
## | | [character] | 2\. Belgium\ | 167 ( 5.3%)\ | | (0%) |
## | | | 3\. Cyprus\ | 167 ( 5.3%)\ | | |
## | | | 4\. Estonia\ | 167 ( 5.3%)\ | | |
## | | | 5\. Finland\ | 167 ( 5.3%)\ | | |
## | | | 6\. France\ | 167 ( 5.3%)\ | | |
## | | | 7\. Germany\ | 167 ( 5.3%)\ | | |
## | | | 8\. Greece\ | 167 ( 5.3%)\ | | |
## | | | 9\. Ireland\ | 167 ( 5.3%)\ | | |
## | | | 10\. Italy\ | 167 ( 5.3%)\ | | |
## | | | [ 9 others ] | 1468 (46.8%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 2 | Date\ | min : 2020-01-01\ | 167 distinct values |  | 0\ |
## | | [POSIXct, POSIXt] | med : 2020-03-25\ | | | (0%) |
## | | | max : 2020-06-15\ | | | |
## | | | range : 5m 14d | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 3 | Total_Cases_Country\ | Mean (sd) : 25252.6 (57680.9)\ | 1696 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 1030 < 243928\ | | | |
## | | | IQR (CV) : 13978 (2.3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 4 | Total_Deceased_Country\ | Mean (sd) : 2646 (7040.7)\ | 870 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 17 < 34345\ | | | |
## | | | IQR (CV) : 444 (2.7) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 5 | New_Confirmed_Country\ | Mean (sd) : 401.1 (1217.2)\ | 722 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 12 < 26849\ | | | |
## | | | IQR (CV) : 186 (3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 6 | New_Total_Deceased_Country\ | Mean (sd) : 44.5 (139.9)\ | 328 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 1438\ | | | |
## | | | IQR (CV) : 9 (3.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 7 | Population\ | Mean (sd) : 17816441 (24874857.2)\ | 19 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 441539 < 5540718 < 83783945\ | | | |
## | | | IQR (CV) : 15248671 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 8 | Total_Mortality_Rate_Per_Capita\ | Mean (sd) : 0 (0)\ | 1213 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 9 | New_Mortality_Rate_Per_Capita\ | Mean (sd) : 0 (0)\ | 629 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (2.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 10 | Total_Cases_Country_Per_Capita\ | Mean (sd) : 0 (0)\ | 1915 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 11 | rolling_average_confirmed\ | Mean (sd) : 398.8 (1092.8)\ | 1176 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 12.7 < 8387\ | | | |
## | | | IQR (CV) : 193.4 (2.7) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 12 | rolling_average_deceased\ | Mean (sd) : 44.3 (133.7)\ | 612 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0.4 < 975.7\ | | | |
## | | | IQR (CV) : 10 (3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 13 | total_rolling_average_mortality\ | Mean (sd) : 0 (0)\ | 1618 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 14 | new_rolling_average_mortality\ | Mean (sd) : 0 (0)\ | 974 distinct values |  | 421\ |
## | | [numeric] | min < med < max:\ | | | (13.42%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (2.3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 15 | C1_School.closing\ | Mean (sd) : 1.5 (1.4)\ | 0 : 1226 (42.8%)\ |  | 273\ |
## | | [numeric] | min < med < max:\ | 1 : 67 ( 2.3%)\ | | (8.7%) |
## | | | 0 < 2 < 3\ | 2 : 534 (18.6%)\ | | |
## | | | IQR (CV) : 3 (0.9) | 3 : 1038 (36.2%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 16 | C2_Workplace.closing\ | Mean (sd) : 1.2 (1.2)\ | 0 : 1273 (46.2%)\ |  | 384\ |
## | | [numeric] | min < med < max:\ | 1 : 183 ( 6.6%)\ | | (12.24%) |
## | | | 0 < 1 < 3\ | 2 : 671 (24.4%)\ | | |
## | | | IQR (CV) : 2 (1) | 3 : 627 (22.8%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 17 | C3_Cancel.public.events\ | Mean (sd) : 1.2 (1)\ | 0 : 1172 (40.9%)\ |  | 273\ |
## | | [numeric] | min < med < max:\ | 1 : 65 ( 2.3%)\ | | (8.7%) |
## | | | 0 < 2 < 2\ | 2 : 1628 (56.8%) | | |
## | | | IQR (CV) : 2 (0.8) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 18 | C4_Restrictions.on.gatherings\ | Mean (sd) : 1.9 (1.8)\ | 0 : 1323 (46.2%)\ |  | 273\ |
## | | [numeric] | min < med < max:\ | 1 : 44 ( 1.5%)\ | | (8.7%) |
## | | | 0 < 3 < 4\ | 2 : 48 ( 1.7%)\ | | |
## | | | IQR (CV) : 4 (1) | 3 : 493 (17.2%)\ | | |
## | | | | 4 : 957 (33.4%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 19 | C5_Close.public.transport\ | Mean (sd) : 0.4 (0.6)\ | 0 : 1773 (64.0%)\ |  | 367\ |
## | | [numeric] | min < med < max:\ | 1 : 771 (27.8%)\ | | (11.7%) |
## | | | 0 < 0 < 2\ | 2 : 227 ( 8.2%) | | |
## | | | IQR (CV) : 1 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 20 | C6_Stay.at.home.requirements\ | Mean (sd) : 0.8 (0.9)\ | 0 : 1433 (51.7%)\ |  | 367\ |
## | | [numeric] | min < med < max:\ | 1 : 602 (21.7%)\ | | (11.7%) |
## | | | 0 < 0 < 3\ | 2 : 715 (25.8%)\ | | |
## | | | IQR (CV) : 2 (1.1) | 3 : 21 ( 0.8%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 21 | C7_Restrictions.on.internal.movement\ | Mean (sd) : 0.8 (0.8)\ | 0 : 1421 (51.3%)\ |  | 367\ |
## | | [numeric] | min < med < max:\ | 1 : 621 (22.4%)\ | | (11.7%) |
## | | | 0 < 0 < 2\ | 2 : 729 (26.3%) | | |
## | | | IQR (CV) : 2 (1.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 22 | C8_International.travel.controls\ | Mean (sd) : 1.9 (1.7)\ | 0 : 1177 (41.2%)\ |  | 283\ |
## | | [numeric] | min < med < max:\ | 1 : 53 ( 1.9%)\ | | (9.02%) |
## | | | 0 < 2 < 4\ | 2 : 220 ( 7.7%)\ | | |
## | | | IQR (CV) : 3 (0.9) | 3 : 764 (26.8%)\ | | |
## | | | | 4 : 641 (22.4%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 23 | E1_Income.support\ | Mean (sd) : 0.9 (0.9)\ | 0 : 1417 (51.0%)\ |  | 362\ |
## | | [numeric] | min < med < max:\ | 1 : 354 (12.8%)\ | | (11.54%) |
## | | | 0 < 0 < 2\ | 2 : 1005 (36.2%) | | |
## | | | IQR (CV) : 2 (1.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 24 | E2_Debt.contract.relief\ | Mean (sd) : 0.8 (0.9)\ | 0 : 1377 (49.8%)\ |  | 375\ |
## | | [numeric] | min < med < max:\ | 1 : 460 (16.7%)\ | | (11.95%) |
## | | | 0 < 1 < 2\ | 2 : 926 (33.5%) | | |
## | | | IQR (CV) : 2 (1.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 25 | E3_Fiscal.measures\ | Mean (sd) : 698571077.7 (17022051061.6)\ | 60 distinct values |  | 380\ |
## | | [numeric] | min < med < max:\ | | | (12.11%) |
## | | | 0 < 0 < 709276000000\ | | | |
## | | | IQR (CV) : 0 (24.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 26 | H1_Public.information.campaigns\ | Mean (sd) : 1.4 (0.9)\ | 0 : 739 (26.8%)\ |  | 385\ |
## | | [numeric] | min < med < max:\ | 1 : 117 ( 4.2%)\ | | (12.27%) |
## | | | 0 < 2 < 2\ | 2 : 1897 (68.9%) | | |
## | | | IQR (CV) : 2 (0.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 27 | H2_Testing.policy\ | Mean (sd) : 1.1 (0.9)\ | 0 : 789 (28.7%)\ |  | 385\ |
## | | [numeric] | min < med < max:\ | 1 : 1056 (38.4%)\ | | (12.27%) |
## | | | 0 < 1 < 3\ | 2 : 688 (25.0%)\ | | |
## | | | IQR (CV) : 2 (0.8) | 3 : 220 ( 8.0%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 28 | H3_Contact.tracing\ | Mean (sd) : 0.9 (0.8)\ | 0 : 1063 (38.6%)\ |  | 385\ |
## | | [numeric] | min < med < max:\ | 1 : 788 (28.6%)\ | | (12.27%) |
## | | | 0 < 1 < 2\ | 2 : 902 (32.8%) | | |
## | | | IQR (CV) : 2 (0.9) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 29 | H4_Emergency.investment.in.healthcare\ | Mean (sd) : 31126357.6 (1211665194.9)\ | 24 distinct values |  | 385\ |
## | | [numeric] | min < med < max:\ | | | (12.27%) |
## | | | 0 < 0 < 62997723800\ | | | |
## | | | IQR (CV) : 0 (38.9) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 30 | H5_Investment.in.vaccines\ | Mean (sd) : 811940.1 (21591049.7)\ | 18 distinct values |  | 389\ |
## | | [numeric] | min < med < max:\ | | | (12.4%) |
## | | | 0 < 0 < 812000000\ | | | |
## | | | IQR (CV) : 0 (26.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 31 | M1_Wildcard\ | All NA's | | | 3138\ |
## | | [logical] | | | | (100%) |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 32 | StringencyIndex\ | Mean (sd) : 43.1 (35.5)\ | 100 distinct values |  | 377\ |
## | | [numeric] | min < med < max:\ | | | (12.01%) |
## | | | 0 < 50 < 94.4\ | | | |
## | | | IQR (CV) : 77.8 (0.8) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 33 | Oxford_Cases\ | Mean (sd) : 25725 (57002.8)\ | 1646 distinct values |  | 493\ |
## | | [numeric] | min < med < max:\ | | | (15.71%) |
## | | | 0 < 1188 < 243928\ | | | |
## | | | IQR (CV) : 15650 (2.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 34 | Oxford_Deaths\ | Mean (sd) : 2796.1 (7240.9)\ | 880 distinct values |  | 493\ |
## | | [numeric] | min < med < max:\ | | | (15.71%) |
## | | | 0 < 22 < 34345\ | | | |
## | | | IQR (CV) : 598 (2.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 35 | GovernmentResponseIndex\ | Mean (sd) : 42.5 (33.4)\ | 136 distinct values |  | 385\ |
## | | [numeric] | min < med < max:\ | | | (12.27%) |
## | | | 0 < 53.9 < 96.2\ | | | |
## | | | IQR (CV) : 71.8 (0.8) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 36 | ContainmentHealthIndex\ | Mean (sd) : 42.9 (33)\ | 117 distinct values |  | 385\ |
## | | [numeric] | min < med < max:\ | | | (12.27%) |
## | | | 0 < 53.8 < 95.5\ | | | |
## | | | IQR (CV) : 70.5 (0.8) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 37 | Latitude\ | Mean (sd) : 47.9 (7.4)\ | 19 distinct values |  | 10\ |
## | | [numeric] | min < med < max:\ | | | (0.32%) |
## | | | 35.1 < 48.7 < 61.9\ | | | |
## | | | IQR (CV) : 12.9 (0.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 38 | Longitude\ | Mean (sd) : 12.5 (11.7)\ | 19 distinct values |  | 10\ |
## | | [numeric] | min < med < max:\ | | | (0.32%) |
## | | | -8.2 < 14.4 < 33.4\ | | | |
## | | | IQR (CV) : 19.4 (0.9) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 39 | prop65\ | Mean (sd) : 19.1 (2.7)\ | 19 distinct values |  | 10\ |
## | | [numeric] | min < med < max:\ | | | (0.32%) |
## | | | 13.7 < 19.6 < 22.8\ | | | |
## | | | IQR (CV) : 2.7 (0.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 40 | propurban\ | Mean (sd) : 74.3 (13)\ | 19 distinct values |  | 10\ |
## | | [numeric] | min < med < max:\ | | | (0.32%) |
## | | | 53.7 < 70.4 < 98\ | | | |
## | | | IQR (CV) : 20.2 (0.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 41 | popdensity\ | Mean (sd) : 215.7 (318.6)\ | 18 distinct values |  | 177\ |
## | | [numeric] | min < med < max:\ | | | (5.64%) |
## | | | 18.2 < 107.2 < 1511\ | | | |
## | | | IQR (CV) : 166.9 (1.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 42 | driving\ | Mean (sd) : 82.9 (34.8)\ | 2276 distinct values |  | 571\ |
## | | [numeric] | min < med < max:\ | | | (18.2%) |
## | | | 10.9 < 90.9 < 205.6\ | | | |
## | | | IQR (CV) : 53.9 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 43 | walking\ | Mean (sd) : 82.1 (42.3)\ | 2318 distinct values |  | 571\ |
## | | [numeric] | min < med < max:\ | | | (18.2%) |
## | | | 5.8 < 82.6 < 362.5\ | | | |
## | | | IQR (CV) : 63.5 (0.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 44 | transit\ | Mean (sd) : 65.4 (40.7)\ | 1511 distinct values |  | 1477\ |
## | | [numeric] | min < med < max:\ | | | (47.07%) |
## | | | 7 < 55.8 < 160.6\ | | | |
## | | | IQR (CV) : 75.4 (0.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 45 | arrivals\ | Mean (sd) : 23113869.2 (27424808.3)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 1018000 < 10926000 < 89322000\ | | | |
## | | | IQR (CV) : 27592000 (1.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 46 | departures\ | Mean (sd) : 15532851.5 (24590299.4)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 667000 < 8643000 < 108542000\ | | | |
## | | | IQR (CV) : 17047000 (1.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 47 | vul_emp\ | Mean (sd) : 10.5 (4.6)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 5.6 < 10.2 < 25.8\ | | | |
## | | | IQR (CV) : 3.8 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 48 | GNI\ | Mean (sd) : 36530.7 (15647.8)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 16510 < 33730 < 70870\ | | | |
## | | | IQR (CV) : 26290 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 49 | health_exp\ | Mean (sd) : 3183.3 (1597.3)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 930.4 < 2840.1 < 5782.6\ | | | |
## | | | IQR (CV) : 3179.7 (0.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 50 | pollution\ | Mean (sd) : 12 (3.3)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 5.9 < 12 < 17.3\ | | | |
## | | | IQR (CV) : 4.2 (0.3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 51 | EUI_democracy\ | Mean (sd) : 8.1 (0.6)\ | 18 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 7.2 < 8 < 9.2\ | | | |
## | | | IQR (CV) : 1.2 (0.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 52 | freedom_house\ | Mean (sd) : 93.3 (3.6)\ | 12 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 88 < 94 < 100\ | | | |
## | | | IQR (CV) : 6 (0) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 53 | cellular_sub\ | Mean (sd) : 125.3 (15.7)\ | 19 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 99.7 < 123.7 < 163.9\ | | | |
## | | | IQR (CV) : 21.8 (0.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 54 | milex\ | Mean (sd) : 8843960.2 (14276288.6)\ | 19 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 50000 < 2640000 < 50283000\ | | | |
## | | | IQR (CV) : 9939000 (1.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 55 | milper\ | Mean (sd) : 63.7 (82)\ | 19 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 1 < 22 < 251\ | | | |
## | | | IQR (CV) : 135 (1.3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 56 | irst\ | Mean (sd) : 7222.7 (10852.9)\ | 15 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 0 < 2208 < 42661\ | | | |
## | | | IQR (CV) : 7421 (1.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 57 | pec\ | Mean (sd) : 90388 (122913.8)\ | 19 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 283 < 35160 < 468740\ | | | |
## | | | IQR (CV) : 161182 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 58 | cinc\ | Mean (sd) : 0 (0)\ | 19 distinct values |  | 0\ |
## | | [numeric] | min < med < max:\ | | | (0%) |
## | | | 0 < 0 < 0\ | | | |
## | | | IQR (CV) : 0 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 59 | endocrine_deaths\ | Mean (sd) : 806.5 (654.7)\ | 99 : 167 (25.0%)\ |  | 2470\ |
## | | [numeric] | min < med < max:\ | 329 : 167 (25.0%)\ | | (78.71%) |
## | | | 99 < 676.5 < 1774\ | 1024 : 167 (25.0%)\ | | |
## | | | IQR (CV) : 940 (0.8) | 1774 : 167 (25.0%) | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 60 | blood_pressure_deaths\ | Mean (sd) : 3687.8 (5855.9)\ | 17 distinct values |  | 334\ |
## | | [numeric] | min < med < max:\ | | | (10.64%) |
## | | | 4 < 671 < 22129\ | | | |
## | | | IQR (CV) : 2786 (1.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 61 | respiratory_deaths\ | Mean (sd) : 39161.3 (56244)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 611 < 14106 < 201122\ | | | |
## | | | IQR (CV) : 37471 (1.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 62 | govt_accountability\ | Mean (sd) : 1.2 (0.3)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 0.8 < 1.2 < 1.6\ | | | |
## | | | IQR (CV) : 0.4 (0.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 63 | political_stability\ | Mean (sd) : 0.7 (0.4)\ | 15 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 0.1 < 0.8 < 1.4\ | | | |
## | | | IQR (CV) : 0.5 (0.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 64 | govt_effectiveness\ | Mean (sd) : 1.2 (0.4)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 0.3 < 1.2 < 2\ | | | |
## | | | IQR (CV) : 0.5 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 65 | regulatory_quality\ | Mean (sd) : 1.2 (0.5)\ | 18 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 0.3 < 1.2 < 2\ | | | |
## | | | IQR (CV) : 0.7 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 66 | rule_of_law\ | Mean (sd) : 1.2 (0.5)\ | 17 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | 0.2 < 1.2 < 2\ | | | |
## | | | IQR (CV) : 0.7 (0.4) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 67 | control_of_corruption\ | Mean (sd) : 1.1 (0.7)\ | 17 distinct values |  | 167\ |
## | | [numeric] | min < med < max:\ | | | (5.32%) |
## | | | -0.1 < 1.3 < 2.2\ | | | |
## | | | IQR (CV) : 1.1 (0.6) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 68 | Fiscal_Response_Dummy\ | Mean (sd) : 0.1 (0.4)\ | 0 : 2966 (94.5%)\ |  | 0\ |
## | | [numeric] | min < med < max:\ | 1 : 6 ( 0.2%)\ | | (0%) |
## | | | 0 < 0 < 2\ | 2 : 166 ( 5.3%) | | |
## | | | IQR (CV) : 0 (4.2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 69 | Monetary_Response_Dummy\ | Min : 0\ | 0 : 3129 (99.7%)\ |  | 0\ |
## | | [numeric] | Mean : 0\ | 2 : 9 ( 0.3%) | | (0%) |
## | | | Max : 2 | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 70 | Macroprudential_Dummy\ | Mean (sd) : 0.1 (0.3)\ | 0 : 3055 (97.4%)\ |  | 0\ |
## | | [numeric] | min < med < max:\ | 1 : 6 ( 0.2%)\ | | (0%) |
## | | | 0 < 0 < 2\ | 2 : 77 ( 2.5%) | | |
## | | | IQR (CV) : 0 (6.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 71 | Loan_or_Credit_Dummy\ | Mean (sd) : 0 (0.3)\ | 0 : 3076 (98.0%)\ |  | 0\ |
## | | [numeric] | min < med < max:\ | 1 : 6 ( 0.2%)\ | | (0%) |
## | | | 0 < 0 < 2\ | 2 : 56 ( 1.8%) | | |
## | | | IQR (CV) : 0 (7.1) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 72 | EU_Fiscal_Response_Dummy\ | Mean (sd) : 0.3 (0.7)\ | 0 : 2683 (85.5%)\ |  | 0\ |
## | | [numeric] | min < med < max:\ | 1 : 38 ( 1.2%)\ | | (0%) |
## | | | 0 < 0 < 2\ | 2 : 417 (13.3%) | | |
## | | | IQR (CV) : 0 (2.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 73 | EU_Macroprudential_Dummy\ | Min : 0\ | 0 : 2682 (85.5%)\ |  | 0\ |
## | | [numeric] | Mean : 0.3\ | 2 : 456 (14.5%) | | (0%) |
## | | | Max : 2 | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 74 | EU_Loan_or_Credit_Dummy\ | Mean (sd) : 0.1 (0.5)\ | 0 : 2891 (92.1%)\ |  | 0\ |
## | | [numeric] | min < med < max:\ | 1 : 38 ( 1.2%)\ | | (0%) |
## | | | 0 < 0 < 2\ | 2 : 209 ( 6.7%) | | |
## | | | IQR (CV) : 0 (3.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 75 | ECB_Announcement\ | Min : 0\ | 0 : 3081 (98.2%)\ |  | 0\ |
## | | [numeric] | Mean : 0\ | 2 : 57 ( 1.8%) | | (0%) |
## | | | Max : 2 | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 76 | Fed_Announcement\ | Min : 0\ | 0 : 2930 (93.4%)\ |  | 0\ |
## | | [numeric] | Mean : 0.1\ | 2 : 208 ( 6.6%) | | (0%) |
## | | | Max : 2 | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 77 | Population (Millions)\ | Mean (sd) : 20.1 (25.7)\ | 17 distinct values |  | 311\ |
## | | [numeric] | min < med < max:\ | | | (9.91%) |
## | | | 1.2 < 8.8 < 82.9\ | | | |
## | | | IQR (CV) : 14.4 (1.3) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 78 | New_Deaths_Per_Million\ | Mean (sd) : 1.5 (3.8)\ | 619 distinct values |  | 708\ |
## | | [numeric] | min < med < max:\ | | | (22.56%) |
## | | | 0 < 0 < 45.4\ | | | |
## | | | IQR (CV) : 1.2 (2.5) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
## | 79 | Total_Deaths_Per_Million\ | Mean (sd) : 88.3 (174.1)\ | 1159 distinct values |  | 708\ |
## | | [numeric] | min < med < max:\ | | | (22.56%) |
## | | | 0 < 7.4 < 845.4\ | | | |
## | | | IQR (CV) : 63.3 (2) | | | |
## +----+----------------------------------------+------------------------------------------+----------------------+----------------------+----------+
view(dfSummary(Oxford_V1))
## Switching method to 'browser'
## Output file written: /var/folders/1q/n6774yp14lnfhl5hkdh45ndm0000gn/T//Rtmpf8IEMn/filed57c1daf353a.html
# For the complete output, please open the summary in the html link.
# Now, I generate a correlation heat map, using a subset of variables from the final dataset.
corrmapvarlist <- c("total_rolling_average_mortality", "Total_Cases_Country", "Total_Deceased_Country", "New_Confirmed_Country", "New_Total_Deceased_Country", "Population", "rolling_average_confirmed", "rolling_average_deceased", "C1_School.closing", "C2_Workplace.closing", "C3_Cancel.public.events", "C4_Restrictions.on.gatherings", "C5_Close.public.transport", "C6_Stay.at.home.requirements", "C7_Restrictions.on.internal.movement", "C8_International.travel.controls", "E1_Income.support", "E2_Debt.contract.relief", "E3_Fiscal.measures", "H1_Public.information.campaigns", "H2_Testing.policy", "H3_Contact.tracing", "H4_Emergency.investment.in.healthcare", "H5_Investment.in.vaccines", "StringencyIndex", "prop65", "propurban", "driving", "walking")
corrmapvars <- Oxford_V1[corrmapvarlist]
# Here, I rename the variables to make them easier to read on the map.
corrmapvars <- corrmapvars %>% dplyr::rename(mortality_ra = total_rolling_average_mortality)
corrmapvars <- corrmapvars %>% dplyr::rename(confirmed_ra = rolling_average_confirmed)
corrmapvars <- corrmapvars %>% dplyr::rename(deceased_ra = rolling_average_deceased)
corrmapvars <- corrmapvars %>% dplyr::rename(cases = Total_Cases_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(deaths = Total_Deceased_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(new_cases = New_Confirmed_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(new_deaths = New_Total_Deceased_Country)
corrmapvars <- corrmapvars %>% dplyr::rename(school_closing = C1_School.closing)
corrmapvars <- corrmapvars %>% dplyr::rename(work_closing = C2_Workplace.closing)
corrmapvars <- corrmapvars %>% dplyr::rename(public_event_closing = C3_Cancel.public.events)
corrmapvars <- corrmapvars %>% dplyr::rename(gathering_restrictions = C4_Restrictions.on.gatherings)
corrmapvars <- corrmapvars %>% dplyr::rename(transport_closing = C5_Close.public.transport)
corrmapvars <- corrmapvars %>% dplyr::rename(lockdown = C6_Stay.at.home.requirements)
corrmapvars <- corrmapvars %>% dplyr::rename(internal_restrictions = C7_Restrictions.on.internal.movement)
corrmapvars <- corrmapvars %>% dplyr::rename(travel_restrictions = C8_International.travel.controls)
corrmapvars <- corrmapvars %>% dplyr::rename(income = E1_Income.support)
corrmapvars <- corrmapvars %>% dplyr::rename(debt = E2_Debt.contract.relief)
corrmapvars <- corrmapvars %>% dplyr::rename(fiscal = E3_Fiscal.measures)
corrmapvars <- corrmapvars %>% dplyr::rename(campaigns = H1_Public.information.campaigns)
corrmapvars <- corrmapvars %>% dplyr::rename(testing = H2_Testing.policy)
corrmapvars <- corrmapvars %>% dplyr::rename(tracing = H3_Contact.tracing)
corrmapvars <- corrmapvars %>% dplyr::rename(health_care = H4_Emergency.investment.in.healthcare)
corrmapvars <- corrmapvars %>% dplyr::rename(vaccine = H5_Investment.in.vaccines)
corrmapvars <- corrmapvars %>% dplyr::rename(stringency_index = StringencyIndex)
corrmapvalues <- round(cor(corrmapvars, use = "pairwise.complete.obs"), 2)
# Here, I get the lower triangle of the correlation matrix
get_lower_tri<-function(cormat){
cormat[upper.tri(cormat)] <- NA
return(cormat)
}
# Now, I get the upper triangle of the correlation matrix
get_upper_tri <- function(cormat){
cormat[lower.tri(cormat)]<- NA
return(cormat)
}
reorder_cormat <- function(cormat){
### Use correlation between variables as distance
dd <- as.dist((1-cormat)/2)
hc <- hclust(dd)
cormat <-cormat[hc$order, hc$order]
}
### Reorder the correlation matrix
corrmapvalues <- reorder_cormat(corrmapvalues)
### Get the Upper Triangle
upper_tri <- get_upper_tri(corrmapvalues)
### Melt the Correlation Map
melted_corrmap <- reshape2::melt(upper_tri, na.rm = TRUE)
### Generate the Static Correlation Map
ggheatmap <- ggplot(data = melted_corrmap, aes(x=Var2, y=Var1, fill=value)) +
geom_tile(color = "white") +
scale_fill_gradient2(low = "blue", high = "red", mid = "white",
midpoint = 0, limit = c(-1,1), space = "Lab",
name="Pearson\nCorrelation") +
theme(axis.text.x = element_text(angle = 45)) +
theme(axis.text.x = element_text(margin = margin(t = 5, r = 0, b = 0, l = 0))) +
theme(axis.text.x = element_text(hjust=1))
print(ggheatmap)
### Generate an Interactive Correlation Map (you are able to zoom to specific correlates).
interactive_heatmap <- heatmaply_cor(
cor(corrmapvalues),
row_text_angle = 0,
column_text_angle = 45,
na.value = "grey50",
na.rm = TRUE,
xlab = "Features",
ylab = "Features",
k_col = 0,
k_row = 0,
fontsize_row = 5,
fontsize_col = 5,
plot_method = c("ggplot", "plotly"),
show_dendrogram = c(FALSE, FALSE),
key.title = "Pearson Correlations")
interactive_heatmap
cor.policy.dat <- Oxford_V1[,c("C1_School.closing",
"C2_Workplace.closing",
"C3_Cancel.public.events",
"C4_Restrictions.on.gatherings",
"C5_Close.public.transport",
"C6_Stay.at.home.requirements",
"C7_Restrictions.on.internal.movement",
"C8_International.travel.controls",
"H1_Public.information.campaigns",
"StringencyIndex")]
colnames(cor.policy.dat) <- c("School Closing",
"Workplace Closing",
"Cancel Public Events",
"Gathering Restrictions",
"Close Public Transport",
"Stay at Home",
"Internal Movement Restrictions",
"International Travel Controls",
"Public Information Campaigns",
"Stringency Index")
cormat<-round(cor(cor.policy.dat,use = "complete.obs"), 2)
# Here, I get the lower triangle of the correlation matrix
get_lower_tri<-function(cormat){
cormat[upper.tri(cormat)] <- NA
return(cormat)
}
# Now, I get the upper triangle of the correlation matrix
get_upper_tri <- function(cormat){
cormat[lower.tri(cormat)]<- NA
return(cormat)
}
reorder_cormat <- function(cormat){
# Use correlation between variables as distance
dd <- as.dist((1-cormat)/2)
hc <- hclust(dd)
cormat <-cormat[hc$order, hc$order]
}
cormat <- reorder_cormat(cormat)
melted_cormat <- reshape2::melt(get_upper_tri(cormat), na.rm = TRUE)
### Generate the Static Correlation Map
ggheatmap <- ggplot(data = melted_cormat, aes(x=Var2, y=Var1, fill=value)) +
geom_tile(color = "black") +
scale_fill_gradient2(low = "blue", high = "red", mid = "white",
midpoint = 0, limit = c(-1,1), space = "Lab",
name="Pearson\nCorrelation") +
theme_minimal()+
theme(axis.text.x = element_text(angle = 45)) +
theme(axis.text.x = element_text(margin = margin(t = 5, r = 0, b = 0, l = 0))) +
theme(axis.text.x = element_text(hjust=1))+coord_fixed()
Plot_78 <- ggheatmap +
geom_text(aes(Var2, Var1, label = value), color = "black", size = 1.75) +
theme(
axis.title.x = element_blank(),
axis.title.y = element_blank(),
axis.text=element_text(size=7),
panel.grid.major = element_blank(),
panel.border = element_blank(),
panel.background = element_blank(),
axis.ticks = element_blank(),
legend.justification = c(1, 0),
legend.position = c(0.6, 0.7),
legend.direction = "horizontal",
legend.title = element_text(size = 7),
legend.text=element_text(size=7),
plot.caption = element_text(size = 7, hjust=0))+
guides(fill = guide_colorbar(barwidth = 7, barheight = 1,
title.position = "top", title.hjust = 0.5))
# Print the heatmap
print(Plot_78)
library(lubridate)
library(zoo)
library(quantmod)
library(fBasics)
library(tseries)
library(sandwich)
library(lmtest)
library(lattice)
library(xtable)
library(vars)
library(plyr)
library(gridExtra)
library(corrplot)
library(ggplot2)
library(reshape2)
library(data.table)
library(rvest)
library(plm)
library(stringr)
library(stargazer)
library(ggpubr)
##
## Attaching package: 'ggpubr'
## The following object is masked from 'package:plyr':
##
## mutate
###read in data
cds_five<-read.csv("data/cds_daily_5y.csv",header=T,sep=',')
cds_five2<-read.csv("data/markit_CDS5Ydaily.csv",header=T,sep=',') ### markit CDS data to replace some bad data in the initial file (Greece)
ez_ten<-read.csv("data/cds_daily_10y_Ezone_dum.csv",header=T,sep=',')
cds_five$Name<-as.Date(cds_five$Name,"%m/%d/%Y")
colnames(cds_five)[1]<-"Date"
cds_five2$Date<-as.Date(cds_five2$Date,"%Y-%m-%d")
cds_five<-cds_five[which(cds_five$Date>="2014-01-01"),]
cds_five2<-cds_five2[which(cds_five2$Date>="2014-01-01"),]
ez_cds<-cds_five[,c(1,1+which(ez_ten$EU_dum==1))]
colnames(ez_cds)<-c("Date","Germany","France","Greece","Ireland","Belgium","Spain","Netherlands","Austria","Cyprus","Estonia","Italy","Latvia","Lithuania","Malta","Portugal","Slovenia","Slovak_Rep","Finland")
nonez_cds<-cds_five[,c(1,1+which(ez_ten$EU_dum!=1))]
###plot individual spreads
pdat<-melt(ez_cds,id.vars="Date")
countriez<-unique(pdat$variable)
country_plots<-list()
for(i in 1:length(countriez)) {
country_plots[[i]] <- ggplot(data=subset(pdat,variable==countriez[i]), aes_string(x="Date",y="value"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])
}
do.call("grid.arrange", c(country_plots))
### replace germany, greece with markit CDS data
ez_cds$Germany<-NA
ez_cds$Germany[which(ez_cds$Date %in% cds_five2$Date)]<-cds_five2$DE
ez_cds$Germany[1]<-ez_cds$Germany[2] #fill in 1/1/2014 with 1/2/2014 value
ez_cds$Germany<-na.locf(ez_cds$Germany)
ez_cds$Greece<-NA
ez_cds$Greece[which(ez_cds$Date %in% cds_five2$Date)]<-cds_five2$GR
ez_cds$Greece[1]<-ez_cds$Greece[2] #fill in 1/1/2014 with 1/2/2014 value
ez_cds$Greece<-na.locf(ez_cds$Greece)
ez_cds$Greece[which(ez_cds$Greece>4000)]<-ez_cds$Greece[which(ez_cds$Greece>4000)[1]-1] #fix outliers
###REMOVE MALTA
ez_cds<-ez_cds[,-which(colnames(ez_cds)=="Malta")]
###plot individual spreads
pdat<-melt(ez_cds,id.vars="Date")
countriez<-unique(pdat$variable)
country_plots<-list()
for(i in 1:length(countriez)) {
country_plots[[i]] <- ggplot(data=subset(pdat,variable==countriez[i]), aes_string(x="Date",y="value"))+geom_line(size=1)+theme_bw()+ylab("")+xlab(countriez[i])
}
do.call("grid.arrange", c(country_plots)) #much better
###Prepare data for regression
ez_cds2<-ez_cds
d_ezcds<-apply(log(ez_cds2[,-1]),2,diff) #log differences of EZ spreads
d_necds<-apply(log(nonez_cds[,-1]),2,diff) # log differences of non-EZ spreads
glo_cds<-rowMeans(d_necds) # create a global CDS factor excluding EZ
ez_fac<-matrix(NA,nrow=nrow(d_ezcds),ncol=ncol(d_ezcds)) # create an EZ common factor excluding country i
for(i in 1:ncol(ez_fac)){
ez_fac[,i]<-rowMeans(d_ezcds[,-i])
}
###training - test sample split
pre.dat<-d_ezcds[which(ez_cds2$Date[-1]<"2019-06-30"),]
post.dat<-d_ezcds[which(ez_cds2$Date[-1]>="2019-06-30"),]
glo_cds_pre<-glo_cds[which(ez_cds2$Date[-1]<"2019-06-30")]
glo_cds_post<-glo_cds[which(ez_cds2$Date[-1]>="2019-06-30")]
ez_fac_pre<-ez_fac[which(ez_cds2$Date[-1]<"2019-06-30"),]
ez_fac_post<-ez_fac[which(ez_cds2$Date[-1]>="2019-06-30"),]
coefz<-matrix(NA,ncol=4,nrow=ncol(pre.dat))
predz<-matrix(NA,ncol=ncol(pre.dat),nrow=(nrow(post.dat)))
rsqz<-c(0)
for(i in 1:nrow(coefz)){
mod<-lm(pre.dat[,i]~Lag(pre.dat[,i],1)+glo_cds_pre+ez_fac_pre[,i])
coefz[i,]<-coef(mod)
predz[,i]<-coef(mod)[1]*rep(1,nrow(post.dat))+coef(mod)[2]*Lag(post.dat[,i],1)+coef(mod)[3]*glo_cds_post+coef(mod)[4]*ez_fac_post[,i]
rsqz[i]<-summary(mod)$r.squared
}
colnames(predz)<-colnames(post.dat)
pdat<-data.frame(ez_cds2$Date[which(ez_cds2$Date>"2019-06-30")],rowMeans(post.dat),
rowMeans(post.dat[,which(colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(post.dat[,which(!colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(post.dat[,which(colnames(post.dat) %in% c("France","Germany","Belgium","Netherlands"))]),
rowMeans(post.dat[,which(colnames(post.dat) %in% c("Belgium","Spain","Italy","France","Netherlands"))]),rowMeans(post.dat[,which(!colnames(post.dat) %in% c("Slovakia","Latvia","Cyprus","Greece","Lithuania"))]),
rowMeans(predz),rowMeans(predz[,which(colnames(post.dat) %in% c("Portugal","Italy","Spain","Greece","Spain"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("Portugal","Italy","Ireland","Greece","Spain"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("France","Germany","Belgium","Netherlands"))]),
rowMeans(predz[,which(colnames(post.dat) %in% c("Belgium","Spain","Italy","France","Netherlands"))]),rowMeans(predz[,which(!colnames(post.dat) %in% c("Slovakia","Latvia","Cyprus","Greece","Lithuania"))]),
apply(apply(post.dat,2,cumsum),1,sd))
colnames(pdat)<-c("date","EZ_Avg","EZ_Avg_PIIGS","EZ_Avg_nPIIGS","EZ_Avg_Core","EZ_Avg_COVID","EZ_Avg_nCOVID","EZ_Pred","EZ_Pred_PIIGS","EZ_Pred_nPIIGS","EZ_Pred_Core","EZ_Pred_COVID","EZ_Pred_nCOVID","EZ_SD")
p<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg)))+geom_line()+geom_line(aes(y=cumsum(EZ_Pred)),linetype=2)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Out-of-Sample Period")+geom_vline(xintercept = c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)
p2<-ggplot(data=pdat[-1,],aes(x=date,y=EZ_SD))+geom_line()+theme_bw()+xlab("")+ylab("Standard Deviation")+ggtitle("Eurozone CDS Spreads Dispersion")+geom_vline(xintercept = c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)
p3a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nPIIGS)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("GIIPS Vs. Non-GIIPS: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-05")), y = c(.1,-.5), label = c("non-GIIPS", "GIIPS") , fontface=c("bold","plain"))
p3b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS-EZ_Pred_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nPIIGS-EZ_Pred_nPIIGS)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="GIIPS Vs. Non-GIIPS: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-02-10")), y = c(.1,-.1), label = c("Non-GIIPS", "GIIPS") , fontface=c("bold","plain"))
p5a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_Core)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("GIIPS Vs. Core: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-05")), y = c(.1,-.5), label = c("Core", "GIIPS") , fontface=c("bold","plain"))
p5b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_PIIGS-EZ_Pred_PIIGS)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_Core-EZ_Pred_Core)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="GIIPS Vs. Core: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-02-10")), y = c(.1,-.1), label = c("Core", "GIIPS") , fontface=c("bold","plain"))
p4a<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_COVID)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nCOVID)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Change (Log CDS)")+ggtitle("High Vs. Low COVID Moralities: Actual")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+ylim(c(-.6,1))+annotate("text", x = c(as.Date("2020-01-25"),as.Date("2020-01-25")), y = c(.1,.75), label = c("Low Mortality", "High Mortality") , fontface=c("bold","plain"))
p4b<-ggplot(data=pdat[-1,],aes(x=date,y=cumsum(EZ_Avg_COVID-EZ_Pred_COVID)))+geom_line()+geom_line(aes(y=cumsum(EZ_Avg_nCOVID-EZ_Pred_nCOVID)),size=1)+theme_bw()+xlab("")+ylab("Cumulative Residuals")+labs(title="High Vs. Low COVID Moralities: Actual-Fitted")+geom_vline(xintercept=c(as.numeric(as.Date("2020-03-18")),as.numeric(as.Date("2020-06-04"))),alpha=.5)+annotate("text", x = c(as.Date("2020-02-01"),as.Date("2020-02-10")), y = c(.1,.5), label = c("Low Mortality", "High Mortality") , fontface=c("bold","plain"))
grid.arrange(p,p2,p4a,p4b,nrow=2) #1000x700
grid.arrange(p3a,p3b,p5a,p5b,nrow=2)
#write.csv(data.frame(pdat$date,post.dat),"covid_ez_spreads.csv")
#write.csv(data.frame(pdat$date,predz),"covid_ez_prediction.csv")
corz<-c(0)
for(i in 1:ncol(post.dat)){
corz[i]<-cor(post.dat[,i],predz[,i],use="complete.obs")
}
###plot individual spreads
pdat<-data.frame(ez_cds2$Date[which(ez_cds2$Date>"2019-06-30")],post.dat,predz)
colnames(pdat)[1]<-"date"
countriez<-colnames(pdat)[-1]
country_plots<-list()
for(i in 1:(length(countriez)/2)) {
plotdat<-pdat[-1,c(1,i+1,i+18)]
plotdat[,-1]<-apply(plotdat[,-1],2,cumsum)
country_plots[[i]] <- ggplot(data=(plotdat), aes_string(x="date",y=colnames(plotdat)[2]))+geom_line()+theme_bw()+ylab("")+xlab(countriez[i])+geom_line(aes_string(x="date",y=colnames(plotdat)[3]),linetype=2)
}
do.call("grid.arrange", c(country_plots))
###plots vs fundamentals
fstim<-read.csv("data/CESI_7.csv",header=T,sep=',')
###keep EU
eu_countries<-c("Austria","Belgium","Cyprus","Estonia","Finland","France","Germany","Greece","Ireland","Italy","Latvia","Lithuania","Luxembourg","Malta","Netherlands","Portugal","Slovak Republic","Slovenia","Spain")
#eu_countries2<-c("Austria","Belgium","Cyprus","Estonia","Finland","France","Germany","Greece","Ireland","Italy","Latvia","Lithuania","Luxembourg","Malta","Netherlands","Portugal","Slovakia","Slovenia","Spain")
fstim<-fstim[which(fstim$Country %in% eu_countries),]
fstim<-fstim[-which(fstim$Country %in% c("Malta","Luxembourg")),]
colnames(fstim)[which(colnames(fstim)=="Slovak Republic")]<-"Slovak_Rep"
fstim<-fstim[,c("Country","fiscal_7")]
###quick plot
p.cds.coefs<-data.frame(coefz)
p.cds.coefs$countries<-colnames(post.dat)
p.cds.coefs.stim<-merge(p.cds.coefs,fstim,by.x="countries",by.y="Country")
pd<-read.csv("data/EZ_PublicDebtToGDPYearly.csv",header=T,sep=',')
pd2<-pd[which(pd$Date %in% c("2014Q4","2015Q4","2016Q4","2017Q4","2018Q4")),]
colnames(pd2)<-c("Date","Austria","Belgium","Cyprus","Finland","France","Germany","Greece","Ireland","Italy","Lithuania","Malta","Netherlands","Portugal","Slovak_Rep","Slovenia","Spain")
p.cds.coefs.pd<-p.cds.coefs[-which(colnames(post.dat) %in% c("Estonia","Latvia")),] #no PD data on these two
pd2<-pd2[,-which(colnames(pd2) %in% c("Malta","Estonia"))]
#pd2<-pd2[,c("Date","Germany","France","Ireland","Belgium","Spain","Netherlands","Austria","Cyprus","Italy","Lithuania","Portugal","Slovenia","Slovak_Rep","Finland")]
pd2<-pd2[,c("Date",p.cds.coefs.pd$countries)]
pd3<-colMeans(pd2[,-1])
rates<-read.csv("data/_rMinusg.csv",header=T,sep=',')
rates$Date<-as.yearqtr((rates$Date))
rmg<-rates[which(rates$Date >= "2014 Q4"),]
rmg<-rmg[which(rmg$Date<="2018 Q4"),]
rmg<-colMeans(rmg[,-1],na.rm=T)
rmg<-rmg[-length(rmg)]
names(rmg)<-c("Austria","Belgium","Cyprus","Finland","France","Germany","Greece","Ireland","Italy","Lithuania","Malta","Netherlands","Portugal","Slovak_Rep","Slovenia","Spain")
rmg<-rmg[-which(names(rmg)=="Malta")]
rmg<-rmg[p.cds.coefs.pd$countries]
###fundamentals plot
pdat<-data.frame(pd3,rmg,p.cds.coefs.pd)
colnames(pdat)<-c("PD","RMG","Intercept","AR","Global","Euro","countries")
p<-ggplot(data=pdat,aes(x=PD,y=Global))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+geom_text(aes(label=countries),hjust="inward", vjust="inward")+xlab("Public Debt/GDP (%)")+ylab("Global Beta")+stat_cor(method = "pearson", label.x = 50, label.y = .5)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)
p2<-ggplot(data=pdat,aes(x=PD,y=Euro))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+geom_text(aes(label=countries),hjust="inward", vjust="inward")+xlab("Public Debt/GDP (%)")+ylab("Regional Beta")+stat_cor(method = "pearson", label.x = 45, label.y = 1.9)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)
grid.arrange(p,p2,nrow=1)## 1000x400
## `geom_smooth()` using formula 'y ~ x'
## `geom_smooth()` using formula 'y ~ x'
pdat2<-data.frame(p.cds.coefs.stim)
colnames(pdat2)<-c("Country","Intercept","AR","Global","Euro","Fiscal")
p4<-ggplot(data=pdat2,aes(x=Global,y=Fiscal))+geom_point(shape=21,size=3,fill="grey")+theme_bw()+geom_text(aes(label=Country),hjust="inward", vjust="inward")+ylab("COVID Stimulus/GDP (%)")+xlab("Global Beta")+stat_cor(method = "pearson", label.x = -.15, label.y = 20)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)
p5<-ggplot(data=pdat2,aes(x=Euro,y=Fiscal))+geom_point(shape=21,size=3,fill="grey")+theme_bw()+geom_text(aes(label=Country),hjust="inward", vjust="inward")+ylab("COVID Stimulus/GDP (%)")+xlab("Regional Beta")+stat_cor(method = "pearson", label.x = 1, label.y = 20)+geom_smooth(method="lm",se=F,color="red",linetype=2,size=.5)
p7<-ggplot(data=pdat2,aes(x=Country,y=Fiscal))+geom_bar(stat="identity")+theme_bw()+theme(axis.text.x=element_text(angle = 60))+xlab("")+ylab("Fiscal Stimulus Announced (% of GDP)")
pdat3<-data.frame(names(pd3),pd3,colSums(post.dat[1:197,],na.rm=T)[-c(10,12)],colSums(post.dat[1:197,]-predz[1:197,],na.rm=T)[-c(10,12)])
colnames(pdat3)<-c("country","pd","post","covidresid")
p8<-ggplot(data=pdat3,aes(x=pd,y=post))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =-.50, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+xlab("Public Debt/GDP (%)")+ylab("Realized log CDS Change (2020)")
p9<-ggplot(data=pdat3,aes(x=pd,y=covidresid))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =-.50, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+xlab("Public Debt/GDP (%)")+ylab("Cumulative COVID Residual")
pdat4<-data.frame(fstim,colSums(post.dat[1:197,],na.rm=T),colSums(post.dat[1:197,]-predz[1:197,],na.rm=T))
colnames(pdat4)<-c("country","fstim","post","covidresid")
p10<-ggplot(data=pdat4,aes(y=post,x=fstim))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =15, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+ylab("Realized log CDS Change (2020)")+xlab("COVID Stimulus/GDP (%)")
p11<-ggplot(data=pdat4,aes(y=covidresid,x=fstim))+geom_point(shape=21,fill="grey",size=3)+theme_bw()+stat_cor(method = "pearson", label.x =15, label.y = -.5)+geom_text(aes(label=country),hjust="inward",check_overlap = T)+ylab("Cumulative COVID Residual")+xlab("COVID Stimulus/GDP (%)")
cds_5yr_prediction <- read.csv("data/covid_ez_prediction.csv", header = T, sep=',')
cds_5yr_actual <- read.csv("data/covid_ez_spreads.csv", header = T, sep = ',')
oxford <- read_excel("data/Oxford_V1.xlsx")
oxford <- oxford %>% dplyr::select(-contains("Flag"))
oxford <- oxford %>% dplyr::select(-contains("Lagged"))
colnames(oxford)[which(colnames(oxford) == "Total_Cases_Country")] <- "Total_Case"
colnames(oxford)[which(colnames(oxford) == "Total_Deceased_Country")] <- "Total_Death"
colnames(oxford)[which(colnames(oxford) == "New_Confirmed_Country")] <- "New_Case"
colnames(oxford)[which(colnames(oxford) == "New_Total_Deceased_Country")] <- "New_Death"
oxford$Total_Case_Rate <- oxford$Total_Case/oxford$Population*1000000 ### Total case rate per one million people
oxford$Total_Mortality_Rate <- oxford$Total_Death/oxford$Population*1000000 ### Total mortality rate per one million people
oxford$New_Case_Rate <- oxford$New_Case/oxford$Population*1000000 ### New case rate per one million people
oxford$New_Mortality_Rate <- oxford$New_Death/oxford$Population*1000000 ### New mortality rate per one million people
oxford$Total_Mortality_Rate_Per_Capita <- NULL
oxford$New_Mortality_Rate_Per_Capita <- NULL
oxford$Total_Cases_Country_Per_Capita <- NULL
oxford$rolling_average_confirmed <- NULL
oxford$rolling_average_deceased <- NULL
oxford$total_rolling_average_mortality <- NULL
oxford$new_rolling_average_mortality <- NULL
colnames(oxford)[1] <- "Country"
oxford <- pdata.frame(oxford, index = c("Country", "Date"))
oxford$Date <- as.Date(oxford$Date,"%Y-%m-%d")
#reorder
oxford <- oxford[order(oxford$Date),]
oxford <- oxford[order(oxford$Country),]
oxford <- oxford %>%
dplyr::group_by(Country) %>%
dplyr::mutate(Total_Mortality_Rate_Growth = (Total_Mortality_Rate - Lag(Total_Mortality_Rate,1))/Lag(Total_Mortality_Rate,1))
oxford <- oxford %>%
dplyr::group_by(Country) %>%
dplyr::mutate(New_Mortality_Rate_Growth = (New_Mortality_Rate - Lag(New_Mortality_Rate,1))/Lag(New_Mortality_Rate,1))
oxford <- oxford %>%
dplyr::group_by(Country) %>%
dplyr::mutate(Total_Case_Rate_Growth = (Total_Case_Rate - Lag(Total_Case_Rate,1))/Lag(Total_Case_Rate,1))
oxford <- oxford %>%
dplyr::group_by(Country) %>%
dplyr::mutate(New_Case_Rate_Growth = (New_Case_Rate - Lag(New_Case_Rate,1))/Lag(New_Case_Rate,1))
oxford <- oxford %>%
dplyr::group_by(Country) %>%
dplyr::mutate(SI_Growth = (StringencyIndex - Lag(StringencyIndex,1))/Lag(StringencyIndex,1))
oxford$Country <- as.character(oxford$Country)
oxford$Country[which(oxford$Country == "Slovakia")] <- "Slovak_Rep"
cds_5yr_prediction_long <- reshape2::melt(cds_5yr_prediction, id.vars=c("X", "pdat.date"))
colnames(cds_5yr_prediction_long) <- c("X", "Date", "Country", "CDS_5y_Prediction")
cds_5yr_prediction_long$X <- NULL
cds_5yr_actual_long <- reshape2::melt(cds_5yr_actual, id.vars=c("X", "pdat.date"))
colnames(cds_5yr_actual_long) <- c("X", "Date", "Country", "CDS_5y_Actual")
cds_5yr_actual_long$X <- NULL
cds_5yr_merged <- merge(cds_5yr_actual_long, cds_5yr_prediction_long, by=c("Country", "Date"), all.x=TRUE)
cds_5yr_merged$CDS_5y_Residual <- cds_5yr_merged$CDS_5y_Actual - cds_5yr_merged$CDS_5y_Prediction
cds_5yr_merged$Date <- as.Date(cds_5yr_merged$Date,"%Y-%m-%d")
cds_5yr_merged <- cds_5yr_merged[which(cds_5yr_merged$Date < '2020-07-01'),]
cds_5y_actual_EZ <- aggregate(CDS_5y_Actual ~ Date, cds_5yr_merged, mean)
cds_5y_prediction_EZ <- aggregate(CDS_5y_Prediction ~ Date, cds_5yr_merged, mean)
eval <- c(0)
cds_5yr_EZ <- merge(cds_5y_actual_EZ, cds_5y_prediction_EZ, by = c("Date"), all.x = TRUE)
cds_5yr_EZ_preMar <- cds_5yr_EZ[which(cds_5yr_EZ$Date < '2020-03-01' & cds_5yr_EZ$Date >= '2020-01-01'),]
cds_5yr_EZ_preMar$residual2 <- (cds_5yr_EZ_preMar$CDS_5y_Actual - cds_5yr_EZ_preMar$CDS_5y_Predictio)^2
eval[1] <- mean(cds_5yr_EZ_preMar$residual2, na.rm = TRUE)
cds_5yr_EZ_postMar <- cds_5yr_EZ[which(cds_5yr_EZ$Date >= '2020-04-01' & cds_5yr_EZ <= '2020-05-31'),]
cds_5yr_EZ_postMar$residual2 <- (cds_5yr_EZ_postMar$CDS_5y_Actual - cds_5yr_EZ_postMar$CDS_5y_Predictio)^2
eval[2] <- mean(cds_5yr_EZ_postMar$residual2, na.rm = TRUE)
cds_5yr_EZ_Mar <- cds_5yr_EZ[which(cds_5yr_EZ$Date >= '2020-03-01' & cds_5yr_EZ$Date < '2020-04-01'),]
cds_5yr_EZ_Mar$residual2 <- (cds_5yr_EZ_Mar$CDS_5y_Actual - cds_5yr_EZ_Mar$CDS_5y_Predictio)^2
eval[3] <- mean(cds_5yr_EZ_Mar$residual2, na.rm = TRUE)
p_EZ_preMar <- ggplot(dat = cds_5yr_EZ_preMar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Mid Dec 2019 - Feb 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)
p_EZ_postMar <- ggplot(dat = cds_5yr_EZ_postMar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, Apr 2020 - Mid June 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)
p_EZ_Mar <- ggplot(dat = cds_5yr_EZ_Mar,aes(x=Date,y=CDS_5y_Actual,linetype="Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction,linetype="Fitted"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+ggtitle("Eurozone Average CDS Spreads, March 2020")+theme(axis.title.y = element_text(size = 10),axis.text = element_text(size = 10),legend.title = element_blank(),plot.title = element_text(size=12),legend.position = c(0.8, 0.8))+ylim(-0.15,0.2)
p_EZ <- grid.arrange(p_EZ_preMar, p_EZ_Mar, p_EZ_postMar, ncol=3,nrow=1)
## Warning: Removed 108 row(s) containing missing values (geom_path).
## Warning: Removed 108 row(s) containing missing values (geom_path).
panel <- merge(cds_5yr_merged, oxford, by = c("Country", "Date"), all.x = TRUE)
panel$Dummy_Fiscal_Country <- as.numeric(panel$Fiscal_Response_Dummy > 0)
panel$Dummy_Fiscal_EU <- as.numeric(panel$EU_Fiscal_Response_Dummy > 0)
panel$Dummy_Monetary_ECB <- as.numeric(panel$ECB_Announcement > 0)
panel$Dummy_Monetary_Fed <- as.numeric(panel$Fed_Announcement > 0)
panel <- panel[which(panel$Date > '2019-07-01'),]
panel <- panel %>%
dplyr::group_by(Country) %>%
dplyr::mutate(Cum_CDS_5y_Residual = cumsum(CDS_5y_Residual))
panel_inCOVID <- panel[which(panel$Date > "2020-02-29" & panel$Date < "2020-04-01"),]
panel_inCOVID <- panel_inCOVID %>% ungroup()
panel_inCOVID <- pdata.frame(panel_inCOVID, index = c("Country", "Date"))
panel_inCOVID$Date <- as.Date(panel_inCOVID$Date,"%Y-%m-%d")
#reorder
panel_inCOVID <- panel_inCOVID[order(panel_inCOVID$Date),]
panel_inCOVID <- panel_inCOVID[order(panel_inCOVID$Country),]
new_res.mortality.2 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.2 <- coeftest(new_res.mortality.2, vcov = vcovHC(new_res.mortality.2, type = "HC1"))
new_res.mortality.3 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.3 <- coeftest(new_res.mortality.3, vcov = vcovHC(new_res.mortality.3, type = "HC1"))
new_res.mortality.4 <- plm(CDS_5y_Residual ~ Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_res.mortality.4 <- coeftest(new_res.mortality.4, vcov = vcovHC(new_res.mortality.4, type = "HC1"))
stargazer(digits=4,new_res.mortality.2,new_res.mortality.3,new_res.mortality.4,
type="html",se=list(se.new_res.mortality.2[,2],se.new_res.mortality.3[,2],se.new_res.mortality.4[,2]), out=file.path("Table_inCOVID_panel_output_newRES_mortality.htm"),
dep.var.labels=c("COVID Residual"),
covariate.labels=c("New Mortality Rate", "New Mortality Rate Growth",
"Total Mortality Rate", "Total Mortality Rate Growth",
"Mobility", "SI Growth",
"Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq",
notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
notes.append=F, notes.align ="l",
title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?", "Y","Y","Y","Y")))
new_CDS.mortality.0 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction,
method="pooling", effect="twoways",
data=panel_inCOVID, na.action="na.exclude")
se.new_CDS.mortality.0 <- coeftest(new_CDS.mortality.0, vcov = vcovHC(new_CDS.mortality.0, type = "HC1"))
new_CDS.mortality.2 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.2 <- coeftest(new_CDS.mortality.2, vcov = vcovHC(new_CDS.mortality.2, type = "HC1"))
new_CDS.mortality.3 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.3 <- coeftest(new_CDS.mortality.3, vcov = vcovHC(new_CDS.mortality.3, type = "HC1"))
new_CDS.mortality.4 <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.4 <- coeftest(new_CDS.mortality.4, vcov = vcovHC(new_CDS.mortality.4, type = "HC1"))
stargazer(digits=4,new_CDS.mortality.0,new_CDS.mortality.2,new_CDS.mortality.3,new_CDS.mortality.4,
type="html",se=list(se.new_CDS.mortality.0[,2],se.new_CDS.mortality.2[,2],se.new_CDS.mortality.3[,2],se.new_CDS.mortality.4[,2]),out=file.path("Table_inCOVID_panel_output_newCDS_mortality.htm"),
dep.var.labels=c("Daily CDS Spread Change"),
covariate.labels=c("Fitted Daily CDS Spread Change", "New Mortality Rate", "New Mortality Rate Growth",
"Total Mortality Rate", "Total Mortality Rate Growth",
"Mobility", "SI Growth",
"Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq",
notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
notes.append=F, notes.align ="l",
title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?","Y","Y","Y","Y","Y")))
new_CDS.mortality.2.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth),
method="pooling", effect="twoways",
data=panel_inCOVID[which(!is.infinite(-panel_inCOVID$New_Mortality_Rate_Growth) & !is.infinite(-panel_inCOVID$Total_Mortality_Rate_Growth)),], na.action="na.exclude")
se.new_CDS.mortality.2.small <- coeftest(new_CDS.mortality.2.small, vcov = vcovHC(new_CDS.mortality.2.small, type = "HC1"))
panel_inCOVID_small <- cbind(as.vector(new_CDS.mortality.2$model[[1]]), attr(new_CDS.mortality.2$model[[1]], "index"))
panel_inCOVID_small$Date <- as.Date(panel_inCOVID_small$Date,"%Y-%m-%d")
panel_inCOVID_small <- merge(panel_inCOVID_small, panel_inCOVID, by = c("Country", "Date"), all.x = TRUE)
new_CDS.mortality.0.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction,
method="pooling", effect="twoways",
data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.0.small <- coeftest(new_CDS.mortality.0.small, vcov = vcovHC(new_CDS.mortality.0.small, type = "HC1"))
new_CDS.mortality.3.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth,
method="pooling", effect="twoways",
data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.3.small <- coeftest(new_CDS.mortality.3.small, vcov = vcovHC(new_CDS.mortality.3.small, type = "HC1"))
new_CDS.mortality.4.small <- plm(CDS_5y_Actual ~ CDS_5y_Prediction + Lag(New_Mortality_Rate) + Lag(New_Mortality_Rate_Growth) + Lag(Total_Mortality_Rate) + Lag(Total_Mortality_Rate_Growth) + driving + SI_Growth + Lag(Dummy_Fiscal_Country) + Lag(Dummy_Fiscal_EU) + Lag(Dummy_Monetary_ECB) + Lag(Dummy_Monetary_Fed),
method="pooling", effect="twoways",
data=panel_inCOVID_small, na.action="na.exclude")
se.new_CDS.mortality.4.small <- coeftest(new_CDS.mortality.4.small, vcov = vcovHC(new_CDS.mortality.4.small, type = "HC1"))
stargazer(digits=4,new_CDS.mortality.0.small,new_CDS.mortality.2.small,new_CDS.mortality.3.small,new_CDS.mortality.4.small,
type="html",se=list(se.new_CDS.mortality.0.small[,2],se.new_CDS.mortality.2.small[,2],se.new_CDS.mortality.3.small[,2],se.new_CDS.mortality.4.small[,2]),out=file.path("Table_inCOVID_panel_output_newCDS_mortality_small.htm"),
dep.var.labels=c("Daily CDS Spread Change"),
covariate.labels=c("Fitted Daily CDS Spread Change", "New Mortality Rate", "New Mortality Rate Growth",
"Total Mortality Rate", "Total Mortality Rate Growth",
"Mobility", "SI Growth",
"Country Fiscal Policy Dummy", "EU Fiscal Policy Dummy", "ECB Policy Dummy", "Fed Policy Dummy"), df = FALSE, omit.stat="adj.rsq",
notes = c("*,**,*** correspond to 10%, 5% and 1% significance, respectively.","HAC robust standard errors, clustered by country. Time and Country FEs."),
notes.append=F, notes.align ="l",
title="COVID-Sample Panel Analysis",add.lines = list(c("Fixed effects?","Y","Y","Y","Y","Y")))
panel_inCOVID_CDS_5y_Prediction_New <- cbind(as.vector(new_CDS.mortality.4$model[[1]]-new_CDS.mortality.4$residuals), attr(new_CDS.mortality.4$model[[1]], "index"))
colnames(panel_inCOVID_CDS_5y_Prediction_New)[1] <- c("CDS_5y_Prediction_New")
panel_inCOVID_CDS_5y_Prediction_New$Date <- as.Date(panel_inCOVID_CDS_5y_Prediction_New$Date,"%Y-%m-%d")
panel_inCOVID_small <- merge(panel_inCOVID_CDS_5y_Prediction_New, panel_inCOVID, by = c("Country", "Date"), all.x = TRUE)
panel_inCOVID_EZ_prediction <- aggregate(CDS_5y_Prediction ~ Date, panel_inCOVID_small, mean)
panel_inCOVID_EZ_actual <- aggregate(CDS_5y_Actual ~ Date, panel_inCOVID_small, mean)
panel_inCOVID_EZ_prediction_new <- aggregate(CDS_5y_Prediction_New ~ Date, panel_inCOVID_small, mean)
panel_inCOVID_EZ <- merge(panel_inCOVID_EZ_prediction_new, panel_inCOVID_EZ_prediction, by = c("Date"), all.x = TRUE)
panel_inCOVID_EZ <- merge(panel_inCOVID_EZ, panel_inCOVID_EZ_actual, by = c("Date"), all.x = TRUE)
p_EZ_Mar_New <- ggplot(dat = panel_inCOVID_EZ,aes(x=Date,y=CDS_5y_Actual,linetype = "Actual"))+geom_line()+geom_line(aes(y=CDS_5y_Prediction, linetype="Fitted by model [1]"))+
geom_line()+geom_line(aes(y=CDS_5y_Prediction_New,linetype="Fitted by model [4]"))+theme_bw()+xlab("")+ylab("Daily Change (Log CDS)")+
ggtitle("Eurozone Average CDS Spreads, March 2020")+
theme(axis.title.y = element_text(size = 12), axis.text = element_text(size = 10), legend.title = element_blank(),legend.position = c(0.8, 0.8))
p_EZ_Mar_New